AUTOMATICA.IT 2025: AUTOMATICA.IT 2025

This page contains an index consisting of author-provided keywords.

6
6G	A DRL Approach for Teleoperated Driving in 6G Network Digital Twin Framework
A
Actor Critic Framework	An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic
adaptive control	Removal of extracellular DNA for the optimization of production in closed systems.
Adaptive drug regimens	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Admittance Control	Stability and Sensitivity Analyses in Variable Admittance Control for pHRI with Virtual Fixtures
advanced driver assistance systems	Model-Structured Neural Networks for Road Friction-Aware Anti-Lock Braking Systems
Advanced gastric cancer	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Adversarial Learning	Adversarial Learning Attacks on Autoencoder-based models for Nonlinear Dynamical Systems
aerial robotics	Slope-Aware Actuated Landing for Small Quadrotors - a PRIN-DOCEAT contribution
aerial robotics	Contact-Aware Multi-Rotors for Interaction Tasks - a PRIN-DOCEAT contribution
Agricultural Robotics	Comparative Analysis of Two LiDAR-Driven Methods for Autonomous Navigation in Orchard Rows
agricultural robotics	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
agricultural robots	Motion planning for autonomous agricultural robots in unstructured terrain
agrobiotechnology	Removal of extracellular DNA for the optimization of production in closed systems.
AGV	Continuous-Time Priority-Based Search for Multi-AGV Coordination in Industrial Environments
AI-powered robotics	Self-Supervised Vision-Driven Trajectory Planning for Robotic Deburring
Airborne Wind Energy	Modeling and Control for Airborne Wind Energy Systems
Airborne Wind Energy	Optimal Power Smoothing of Airborne Wind Energy Systems via Pseudo-Spectral Methods and Multi-objective Analysis
Airborne Wind Energy Systems	Experimental Setup and Validation of Model and Resonance Mitigation Controller for Floating Offshore Airborne Wind Energy Systems
Anomaly Detection	Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework
Apparel	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
Applications	Model Predictive Control for Energy Saving of Hybrid Trains in Catenary-Free Scenarios Dynamics of popularity in social media:The Roles of Network Effects and Recommendation Systems Modeling and Modal Control for Adaptive Optics of Ground-Based Telescopes Controllo ottimizzato del bolo insulinico tramite Deep Reinforcement learning Modeling and control of an impacting electromagnetic actuator via hybrid Lyapunov techniques
Artificial Intelligence	Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework HCAI Robotics Research: a Bibliometric Analysis Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
Artificial Pancreas	Artificial Pancreas: challenges for safe and efficient glucose control Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas
Assistive Robotics	BCI-Based Shared Autonomy with the Alter-Ego Assistive Humanoid in Domestic Settings Assistive Humanoid Robot Alter-Ego in Healthcare: The Cart-Pushing Task
attack detection	Decentralized Attack Detection and Localization for Finite State Machines Distributed Reconstruction of Sensor Cyber-Attacks in Cyber-Physical Networks
Attitude Estimation	High-Performance Motorbike Lean Angle Estimation
Autoencoder	Adversarial Learning Attacks on Autoencoder-based models for Nonlinear Dynamical Systems
autoinhibition	Removal of extracellular DNA for the optimization of production in closed systems.
automated guided vehicles	Decentralized Path Planning and Coordination for Multi-AGV Systems in Non-Standardized Automated Warehouses
Automated Insulin Delivery	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment
Automated warehouse	Decentralized Path Planning and Coordination for Multi-AGV Systems in Non-Standardized Automated Warehouses
Automatic Assembly	A Robotic System for Wiring Harness Manufacturing
Automatic Platform	AUTOMATIC LABEL-FREE SYSTEM FOR CELL VIABILITY ON-A-CHIP
Automation Technologies for Smart Cities	Sensor Fault Detection in Bridge Monitoring Applications
Automotive Control	Economic Nonlinear MPC for Conflicting Control Objectives with Constructive Stability Guarantees: A Two-Fold Application Case Study Autonomous Driving in Highway Scenarios through Sliding Mode Control and Quadratic Artificial Potential Fields
Autonomous Agents	Extended Abstract: Robust Decision-Making via Free Energy Minimization (DR-FREE)
autonomous landing	Slope-Aware Actuated Landing for Small Quadrotors - a PRIN-DOCEAT contribution
Autonomous Navigation	Comparative Analysis of Two LiDAR-Driven Methods for Autonomous Navigation in Orchard Rows Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
Autonomous Racing	From Early to Late Apexes: Biasing the Driving Style of Online Time-Optimal Maneuver Planning
Autonomous Robots	Solving Nonlinear MPC Problems in the Koopman Lifted Space: The Case Study of Mobile Robot Navigation in Cluttered Environments A Simulation Study of Mixed Trucks and Robots for Last Mile Delivery
Autonomous Vehicles	Autonomous Driving in Highway Scenarios through Sliding Mode Control and Quadratic Artificial Potential Fields A Hierarchical Framework for the Management of Carpooling Using Autonomous Vehicles
Autonomous wheelchair	Safety-driven motion planning and control of autonomous wheelchair
Average Consensus	Average Consensus over Time-Varying Directed Graphs with Broadcast Communication
B
Balance Control	Learning dynamically stable Ultra-Slow Gait in Quadruped Robots
bank security check systems
Bayesian learning	Multi-agent learning for distributed black-box optimization
Bayesian networks	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks
Bibliometric analysis	HCAI Robotics Research: a Bibliometric Analysis
Biological system	Artificial Pancreas: challenges for safe and efficient glucose control
Biological systems	Neural Model Predictive Control of Safety-Critical Biological Systems: an Application to Tumor-Immune Cancer Dynamics
biomass productivity	Removal of extracellular DNA for the optimization of production in closed systems.
Biomedical	Optimized Feedforward Control for the Co-administration of Propofol and Remifentanil for Induction of Hypnosis in General Anesthesia
Biomedical Micro-Devices	AUTOMATIC LABEL-FREE SYSTEM FOR CELL VIABILITY ON-A-CHIP
bioreactor	Removal of extracellular DNA for the optimization of production in closed systems.
Black-box optimization	Multi-agent learning for distributed black-box optimization
blind matching	Pairwise Synchronized Consensus in a class of decoupled Multi-Agent Systems
Brain Computer Interface	BCI-Based Shared Autonomy with the Alter-Ego Assistive Humanoid in Domestic Settings
Broadcast Communication	Average Consensus over Time-Varying Directed Graphs with Broadcast Communication
Building Information Modeling (BIM)	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
Bézier Curves	Robust Bézier-based Trajectory Tracking
C
Calibration	Learning the objective function of model predictive control from human preferences over pairwise system trajectories
Cancer digital twin	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Cart-Pushing Task	Assistive Humanoid Robot Alter-Ego in Healthcare: The Cart-Pushing Task
Catastrophic Failures	Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches
Causal Inference	Exploring Counterfactual Data Augmentation for Offline Deep Reinforcement Learning in Visual Control
Characteristic Values	The Positive Real Characteristic Values of the Inverse Systems
Circular Economy	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
Classification	Learning the objective function of model predictive control from human preferences over pairwise system trajectories
Closed-form solution	Closed-form SDRE Control for Second-Order Nonlinear Systems
Closed-loop control	Fiber Sensor for Closed-Loop Control of ElectroFluidic Fiber Muscles
Closed-Loop Stability	Economic Nonlinear MPC for Conflicting Control Objectives with Constructive Stability Guarantees: A Two-Fold Application Case Study Measured-state conditioned recursive feasibility for stochastic model predictive control
Clothing EoL Products	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
CNN-LSTM	Data-Driven Forecasting for Maritime Safety: Oil spill and Wave Dynamics Prediction
Cognitive Architectures	On the Power of Modularity in Data-Driven Cognitive Architectures for Rich and Interpretable Human-Machine Interaction
Collaborative Robotics	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
collision avoidance	A Geometrically-informed Extention of STOMP for Effective Collition-free Motion Planning of Robotic Manipulators in Complex Environments
Computational Modeling	A First-Principle Model for Bacterial Cellulose-Based Ionic Sensors
Consensus	Strict Lyapunov Functions for the Super-Twisting Consensus Algorithm
Consensus Algorithms	Stability of Paracontractive Open Multi-Agent Systems
consensus control	Pairwise Synchronized Consensus in a class of decoupled Multi-Agent Systems
constrained control	Lyapunov-based avoidance controllers with stabilizing feedback - a PRIN-DOCEAT contribution
Constrained Model Predictive Control (MPC)	Data-Driven Two-Phase Flow Control in Microchannel
constrained optimization	A constrained optimization approach to system identification through simulation error minimization
Constrained-based models	A modular model integrating metabolism, growth, and cell cycle
Constraint control	Innovation diffusion dynamics toward long-term behavioral shifts
Control applications	Neural Model Predictive Control of Safety-Critical Biological Systems: an Application to Tumor-Immune Cancer Dynamics
Control Architectures	A containerized distributed control architecture for heterogeneous swarm - a PRIN DOCEAT contribution
Control Barrier Functions	Virtual Coupling Train Following Control Using High Order Control Barrier Functions
Control Education	A MATLAB App for Teaching Multi-Objective Speed Planning: Minimizing Time and Energy Consumption
Control for Energy Systems	Model Predictive Control for Energy Saving of Hybrid Trains in Catenary-Free Scenarios
Control in the space of densities	Extended Abstract: Robust Decision-Making via Free Energy Minimization (DR-FREE)
Control of fusion plants	Control of Fusion Power Plants: from real-time data acquisition systems to advanced analysis and identification techniques
Control of Networks	Economic Nonlinear MPC for Conflicting Control Objectives with Constructive Stability Guarantees: A Two-Fold Application Case Study
Control over communications	Optimal Wireless Control With Channel State Detection and Message Dropout Compensation
control switchings	Hybrid control strategies exploiting switches and state resets for improved closed-loop performances - a PRIN DOCEAT contribution
Control Theory	Assistive Humanoid Robot Alter-Ego in Healthcare: The Cart-Pushing Task
Converter Control	Control of Multilevel Flying-Capacitor Converters Using Optimal Dynamic Programming Benchmark
Convex Optimization	A convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives
Cooperative Range-Only SLAM	Cooperative Range-Only SLAM based on Kalman Filtering and Federated Information Sharing - a PRIN DOCEAT contribution
Critical Infrastructure	Distributed Reconstruction of Sensor Cyber-Attacks in Cyber-Physical Networks
Cyber-physical anomaly detection	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks
Cyber-Physical system	Decentralized Attack Detection and Localization for Finite State Machines
Cyber-Physical Systems	Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments
Cyberattacks	Machine Learning-Based Approaches for Attack Detection in IoT Networks
Cybersecurity	Distributed Reconstruction of Sensor Cyber-Attacks in Cyber-Physical Networks
D
Data Augmentation	Exploring Counterfactual Data Augmentation for Offline Deep Reinforcement Learning in Visual Control
Data Driven	Dynamical Systems Behavior Prediction: Machine Learning and Koopman Operator
Data Driven Control	Autonomous Robot Safely Moving in a Crowded Human Populated Environment
data-based learning	Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas
Data-Driven Control	On the Power of Modularity in Data-Driven Cognitive Architectures for Rich and Interpretable Human-Machine Interaction
Data-Driven Modelling	Data-Driven Two-Phase Flow Control in Microchannel
Data-Driven Optimisation	Data-Driven Distributed Aggregative Optimization via Deep-Learning Gradient Estimation
Decision fusion	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks
Decision Support System	Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches
Deep Deterministic Policy Gradient	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment
Deep Generative Models	Exploring Counterfactual Data Augmentation for Offline Deep Reinforcement Learning in Visual Control
Deep Learning	Data-Driven Distributed Aggregative Optimization via Deep-Learning Gradient Estimation Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches
Deep networks	Data-Driven Forecasting for Maritime Safety: Oil spill and Wave Dynamics Prediction
Deep Reinforcement Learning	A DRL Approach for Teleoperated Driving in 6G Network Digital Twin Framework An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic Exploring Counterfactual Data Augmentation for Offline Deep Reinforcement Learning in Visual Control A Hierarchical Framework for the Management of Carpooling Using Autonomous Vehicles Controllo ottimizzato del bolo insulinico tramite Deep Reinforcement learning
Deep-Learning	AUTOMATIC LABEL-FREE SYSTEM FOR CELL VIABILITY ON-A-CHIP
Delay time	Design method to control time-delayed motion systems with integral action
Descriptor system	Fault Detection in Partially Observed Petri Nets (POPN)
Diabetes control	Output-feedback long-term glucose control via physical activity management
Disassembly	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
discrete event systems	Decentralized Attack Detection and Localization for Finite State Machines
discrete-event systems	A comprehensive discrete-event model for optimal allocation and scheduling of electric bus charging Verification of trajectory-dependent opacity properties via fault diagnosis
Distributed Algorithm	Data-Driven Distributed Aggregative Optimization via Deep-Learning Gradient Estimation
Distributed Connectivity Maintenance	A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Distributed Control	Distributed Stability-Guaranteed Reinforcement Learning-based Control for Microgrid Voltage Regulation Centralized and Distributed Reinforcement Learning in System of Systems: Application to a Quadruple Tank Plant
Distributed Coordination	A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Distributed Deadlock Management	A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Distributed Model Predictive Control	Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments
Distributed optimization	Distributed Optimization of Macroscopic Probabilistic Models in Multi-Agent Systems Multi-agent learning for distributed black-box optimization Robust Online Learning over Networks
Distributed Systems	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks Average Consensus over Time-Varying Directed Graphs with Broadcast Communication
distributed systems	A containerized distributed control architecture for heterogeneous swarm - a PRIN DOCEAT contribution
Distributed Task Allocation	A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Distributionally Robust Optimization	Extended Abstract: Robust Decision-Making via Free Energy Minimization (DR-FREE)
Disturbance Observer Based Control	Geometric Disturbance Observer Based Control for Multirotors
DOCEAT	Contact-Aware Multi-Rotors for Interaction Tasks - a PRIN-DOCEAT contribution
Driving Style Biasing	From Early to Late Apexes: Biasing the Driving Style of Online Time-Optimal Maneuver Planning
Drones	Optimal Trajectory Planning for Drone Fleets in Complex Logistic Scenarios
Dwell time switching	Stabilization of Switched Affine Systems With Dwell-Time Constraint
Dynamic allocation	Control of Multi-Input DC-DC Converter based on Dynamic Input Allocation
Dynamic Programming	A convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives
Dynamic systems	Dynamical Systems Behavior Prediction: Machine Learning and Koopman Operator
E
Economic Model Predictive Control	Economic Nonlinear MPC for Conflicting Control Objectives with Constructive Stability Guarantees: A Two-Fold Application Case Study
Electric Buses	A comprehensive discrete-event model for optimal allocation and scheduling of electric bus charging
Electric Vehicles	A comprehensive discrete-event model for optimal allocation and scheduling of electric bus charging
Electroadhesion	Curvature-Based Grasp Planning for Electroadhesive Suction Cups
Emergent behavior	Pairwise Synchronized Consensus in a class of decoupled Multi-Agent Systems
Emerging control applications	Innovation diffusion dynamics toward long-term behavioral shifts
Encrypted Control	Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments
Energy saving	Thermal management optimization in battery electric vehicles using Hierarchical Nonlinear MPC and Machine Learning techniques
Energy-Based Modeling	The Fast-Modeling Power-Oriented Graphs Procedure
Energy-Efficient Control	A convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives
Ensemble Learning	Machine Learning-Based Approaches for Attack Detection in IoT Networks
Evolutionary algorithms	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Experiment design	Advanced control strategies with applications to sustainable bioprocesses
Experimental Activity	Experimental Setup and Validation of Model and Resonance Mitigation Controller for Floating Offshore Airborne Wind Energy Systems
Experiments	Modeling and Control for Airborne Wind Energy Systems
extracellular DNA	Removal of extracellular DNA for the optimization of production in closed systems.
F
False Data Injection Attacks	Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments
false positive suppression	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
Fault Detection	Fault Detection in Partially Observed Petri Nets (POPN) Sensor Fault Detection in Bridge Monitoring Applications Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework
fault diagnosis	Verification of trajectory-dependent opacity properties via fault diagnosis
Fault location detection	Learning-based Detection of Fault Type and Location in Electrical Distribution Networks
Fault type detection	Learning-based Detection of Fault Type and Location in Electrical Distribution Networks
Federated Information Sharing	Cooperative Range-Only SLAM based on Kalman Filtering and Federated Information Sharing - a PRIN DOCEAT contribution
Feedback Linearization	Learning-based quadrotor tracking control using Recursive Gaussian Processes - a PRIN DOCEAT contribution
Fiber Artificial Muscles	Fiber Sensor for Closed-Loop Control of ElectroFluidic Fiber Muscles
Fiber EHD pumps	Fiber Sensor for Closed-Loop Control of ElectroFluidic Fiber Muscles
Fiber stretchable strain sensor	Fiber Sensor for Closed-Loop Control of ElectroFluidic Fiber Muscles
Field robots control	Nested Continuous Sliding Mode Control of Field Robots
First-Principle Models	A First-Principle Model for Bacterial Cellulose-Based Ionic Sensors
Floating Offshore Wind Energy	Experimental Setup and Validation of Model and Resonance Mitigation Controller for Floating Offshore Airborne Wind Energy Systems
forecasting models	Data-Driven Forecasting for Maritime Safety: Oil spill and Wave Dynamics Prediction
Fractional order control	Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization
Fractional order modelling	Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization
Free Energy Minimization	Extended Abstract: Robust Decision-Making via Free Energy Minimization (DR-FREE)
Friedkin-Johnsen dynamics	Optimal intervention in opinion dynamics on large-scale networks
Fuel-optimal guidance	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
G
GAN	Data-Driven Forecasting for Maritime Safety: Oil spill and Wave Dynamics Prediction
Generalized least squares	Generalized Least Squares for Vehicle Traffic Estimation
Geometric control	Geometric Disturbance Observer Based Control for Multirotors
Glucose control	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment Artificial Pancreas: challenges for safe and efficient glucose control
Glucose-Insulin Dynamics	Towards Compartmentalized Recurrent Neural Networks for Modeling Glucose-Insulin Dynamics
GNC algorithm	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Gradient-based optimization	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Grasping of unknown objects	Curvature-Based Grasp Planning for Electroadhesive Suction Cups
Gyroscope	Modelling of Miniaturized Optical Gyros for next gen ADCS
H
Hand Blink Reflex	Quantifying the Perceived Sense of Control in Humamn-Robot Interaction by Exploiting the Hand Blink Reflex
Harsh scenarios	Active Illumination for Visual Ego-Motion Estimation in the Dark
Healthcare and medical systems	Output-feedback long-term glucose control via physical activity management
heterogeneous multi-agent systems	Pairwise Synchronized Consensus in a class of decoupled Multi-Agent Systems
Hierarchical Quadratic Programming	Shared Control and Task Planning for Semi-Autonomous Robots in Agricultural Harvesting Tasks
Histogram Gradient Boosting	Machine Learning-Based Approaches for Attack Detection in IoT Networks
Human Performance Augmentation	Evaluating Human Potential to Control Multiple Degrees of Freedom via User-Defined Lower-Limbs Movements
Human robot interaction	Autonomous Robot Safely Moving in a Crowded Human Populated Environment
Human-Centered Robotics and Automation	Evaluating Human Potential to Control Multiple Degrees of Freedom via User-Defined Lower-Limbs Movements
Human-in-the-Loop Systems	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
Human-Machine Interaction	On the Power of Modularity in Data-Driven Cognitive Architectures for Rich and Interpretable Human-Machine Interaction
Human-Robot Collaboration	Shared Control and Task Planning for Semi-Autonomous Robots in Agricultural Harvesting Tasks Evaluating Human Potential to Control Multiple Degrees of Freedom via User-Defined Lower-Limbs Movements Enabling Hands-Free Augmented Reality with Robotic Manipulators Quantifying the Perceived Sense of Control in Humamn-Robot Interaction by Exploiting the Hand Blink Reflex
Human-Robot Interaction	Towards Reliable And Accurate Myoelectric Interfaces For Human-In-The-Loop Control Of Robot Hands: On The Need For Minimally Supervised Machine Learning Approaches Human-Robot Augmentation: Review and Perspectives on Supernumerary Robotic Limbs Evaluating Human Potential to Control Multiple Degrees of Freedom via User-Defined Lower-Limbs Movements
Human-Robot Teaming	Enabling Hands-Free Augmented Reality with Robotic Manipulators
Humanoid	BCI-Based Shared Autonomy with the Alter-Ego Assistive Humanoid in Domestic Settings Assistive Humanoid Robot Alter-Ego in Healthcare: The Cart-Pushing Task
Hybrid systems	Hybrid control strategies exploiting switches and state resets for improved closed-loop performances - a PRIN DOCEAT contribution
hydroponic systems	Removal of extracellular DNA for the optimization of production in closed systems.
I
Identification	Control of Fusion Power Plants: from real-time data acquisition systems to advanced analysis and identification techniques
Identification for control	Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
Incremental input-to-state stability	Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
Incremental sector condition	Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
indoor navigation	Synchronization Model for Indoor Group Flights of DJI Tello Drones
Industrial Control Systems	Data Integrity in Networked Control Systems: Emerging Solutions
Industrial cyber-physical systems	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks
inertial measurement unit	Synchronization Model for Indoor Group Flights of DJI Tello Drones
infinite-state opacity	Verification of trajectory-dependent opacity properties via fault diagnosis
initial-state opacity	Verification of trajectory-dependent opacity properties via fault diagnosis
Integration of Rothermel’s Model and Cellular Automata	Digital Twin for Wildfire Spreading: A New Hybrid Modeling Method Combining Continuous and Discrete Dynamics
Intelligent Traffic Lights	An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic
Intelligent train control	Virtual Coupling Train Following Control Using High Order Control Barrier Functions
interactive robotics	Contact-Aware Multi-Rotors for Interaction Tasks - a PRIN-DOCEAT contribution
interferometric sensor	Modelling of Miniaturized Optical Gyros for next gen ADCS
Internal Model Principle	Robust Bézier-based Trajectory Tracking
Internet of Things	Machine Learning-Based Approaches for Attack Detection in IoT Networks
Intervention design	Optimal intervention in opinion dynamics on large-scale networks
J
Joint cumulants	Generalized Least Squares for Vehicle Traffic Estimation
K
Kalman filtering	Extended Kalman Filter Informed Neural Network for discrete-time system identification and state reconstruction
Kalman Filtering	Cooperative Range-Only SLAM based on Kalman Filtering and Federated Information Sharing - a PRIN DOCEAT contribution
kinky inference	Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas
Knowledge-Guided Machine Learning	Towards Compartmentalized Recurrent Neural Networks for Modeling Glucose-Insulin Dynamics
Koopman Operator	Solving Nonlinear MPC Problems in the Koopman Lifted Space: The Case Study of Mobile Robot Navigation in Cluttered Environments Dynamical Systems Behavior Prediction: Machine Learning and Koopman Operator
L
Lagrange multipliers	A constrained optimization approach to system identification through simulation error minimization
Large Language Models	Automated Disassembly of Dress Zips Using LLM-Enhanced Collaborative Robots
Large-scale Systems	Distributed Optimization of Macroscopic Probabilistic Models in Multi-Agent Systems
Last Mile Logistics	A Simulation Study of Mixed Trucks and Robots for Last Mile Delivery
Learning	Adversarial Learning Attacks on Autoencoder-based models for Nonlinear Dynamical Systems
learning over networks	Robust Online Learning over Networks
Learning-based Control	Learning-based control of the multi-agent shepherding problem Learning-based control strategies for safe autonomous robot navigation in unknown environments Triggered Methods for Reduced Function Evaluation in Neural Network Controllers
Legged robot	Learning dynamically stable Ultra-Slow Gait in Quadruped Robots
Linear parameter-varying systems	Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
Linear Systems	A new Algorithm for Root Locus Construction
LMIs	Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
LPV models	A quadratic entropy algorithm for efficient online identification of LPV-ARX models using LS-SVM
LS-SVM methods	A quadratic entropy algorithm for efficient online identification of LPV-ARX models using LS-SVM
Lunar landing	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Lyapunov	Hybrid control strategies exploiting switches and state resets for improved closed-loop performances - a PRIN DOCEAT contribution Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
Lyapunov function	Strict Lyapunov Functions for the Super-Twisting Consensus Algorithm
Lyapunov methods	Lyapunov-based avoidance controllers with stabilizing feedback - a PRIN-DOCEAT contribution
Lyapunov stability	Learning dynamically stable Ultra-Slow Gait in Quadruped Robots Stabilization of Switched Affine Systems With Dwell-Time Constraint
Lyapunov techniques	Modeling and control of an impacting electromagnetic actuator via hybrid Lyapunov techniques
Lyapunov theory	Parameter identification for an uncertain reaction-diffusion equation via setpoint regulation
Lyapunov-Metzler inequalities	Stabilization of Switched Affine Systems With Dwell-Time Constraint
M
Machine Learning	Machine Learning-Based Approaches for Attack Detection in IoT Networks Learning-based Detection of Fault Type and Location in Electrical Distribution Networks Learning the objective function of model predictive control from human preferences over pairwise system trajectories Thermal management optimization in battery electric vehicles using Hierarchical Nonlinear MPC and Machine Learning techniques Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches Sensor Fault Detection in Bridge Monitoring Applications A DRL Approach for Teleoperated Driving in 6G Network Digital Twin Framework Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework Learning-based control of the multi-agent shepherding problem A new combined approach for model class selection and parameters learning for nonlinear dynamical systems Triggered Methods for Reduced Function Evaluation in Neural Network Controllers
Macroscopic Models	Distributed Optimization of Macroscopic Probabilistic Models in Multi-Agent Systems
Manufacturing	A Robotic System for Wiring Harness Manufacturing
Map-Free Navigation	Comparative Analysis of Two LiDAR-Driven Methods for Autonomous Navigation in Orchard Rows
MAPF	Continuous-Time Priority-Based Search for Multi-AGV Coordination in Industrial Environments
Marine Engines	Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches
Markov processes	Optimal Wireless Control With Channel State Detection and Message Dropout Compensation
Maskable Proximal Policy Optimization	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment
Mathematical Modeling	A modular model integrating metabolism, growth, and cell cycle
max-plus linear systems	Recent advances in max-plus algebra applications: modelling and control of a fish-robot shoal
mechanical design	Slope-Aware Actuated Landing for Small Quadrotors - a PRIN-DOCEAT contribution
Microfluidics	Data-Driven Two-Phase Flow Control in Microchannel
Microgrids	Distributed Stability-Guaranteed Reinforcement Learning-based Control for Microgrid Voltage Regulation
Min-type control	Control of Multi-Input DC-DC Converter based on Dynamic Input Allocation
Minimally Supervised Learning	Towards Reliable And Accurate Myoelectric Interfaces For Human-In-The-Loop Control Of Robot Hands: On The Need For Minimally Supervised Machine Learning Approaches
Minimum Time Trajectory Planning	From Early to Late Apexes: Biasing the Driving Style of Online Time-Optimal Maneuver Planning
mission planning	Recent advances in max-plus algebra applications: modelling and control of a fish-robot shoal
Mobile Robot Safety	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
Mobile Robotics	Comparative Analysis of Two LiDAR-Driven Methods for Autonomous Navigation in Orchard Rows
Modal Control	Modeling and Modal Control for Adaptive Optics of Ground-Based Telescopes
model identification	Hybrid Modeling of the Insulin-Glucose System: Combining Linear and Data-Driven Models for Artificial Pancreas
Model Order Reduction	The Positive Real Characteristic Values of the Inverse Systems
Model Predictive Control	Thermal management of a school room via quadratic multi-objective optimization Advanced control strategies with applications to sustainable bioprocesses Autonomous Robot Safely Moving in a Crowded Human Populated Environment Learning the objective function of model predictive control from human preferences over pairwise system trajectories Thermal management optimization in battery electric vehicles using Hierarchical Nonlinear MPC and Machine Learning techniques Modeling and Control for Airborne Wind Energy Systems From Early to Late Apexes: Biasing the Driving Style of Online Time-Optimal Maneuver Planning
Model Validation	Experimental Setup and Validation of Model and Resonance Mitigation Controller for Floating Offshore Airborne Wind Energy Systems
Model-free control	Nested Continuous Sliding Mode Control of Field Robots
Modeling	Control of Multilevel Flying-Capacitor Converters Using Optimal Dynamic Programming Benchmark
Modeling and Identification	Modeling and Modal Control for Adaptive Optics of Ground-Based Telescopes A new combined approach for model class selection and parameters learning for nonlinear dynamical systems Modeling and control of an impacting electromagnetic actuator via hybrid Lyapunov techniques
Modularity	On the Power of Modularity in Data-Driven Cognitive Architectures for Rich and Interpretable Human-Machine Interaction
Motion planning	Safety-driven motion planning and control of autonomous wheelchair
Motion systems	Design method to control time-delayed motion systems with integral action
Motor Imaginary	BCI-Based Shared Autonomy with the Alter-Ego Assistive Humanoid in Domestic Settings
Motorbikes	High-Performance Motorbike Lean Angle Estimation
MPC	Artificial Pancreas: challenges for safe and efficient glucose control Model Predictive Control for Energy Saving of Hybrid Trains in Catenary-Free Scenarios
Multi-agent Systems	A Multi-Robot Collaborative Framework accounting for Tasks Cost and Heterogeneity and approached via Proximal Policy Optimization. Data-Driven Distributed Aggregative Optimization via Deep-Learning Gradient Estimation Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments Learning-based control of the multi-agent shepherding problem
multi-agent systems	Recent advances in max-plus algebra applications: modelling and control of a fish-robot shoal
Multi-layer Robot Control	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
multi-objective optimization	Thermal management of a school room via quadratic multi-objective optimization Optimal Power Smoothing of Airborne Wind Energy Systems via Pseudo-Spectral Methods and Multi-objective Analysis A MATLAB App for Teaching Multi-Objective Speed Planning: Minimizing Time and Energy Consumption Multi-Objective Optimization Approach for Multi-Vehicle Path Planning in Hybrid Layout
Multi-Robot Systems	A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Multi-sensor	A Robotic System for Wiring Harness Manufacturing
Multi-vehicles autonomous system	Multi-Objective Optimization Approach for Multi-Vehicle Path Planning in Hybrid Layout
multimodal fusion	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
Multiphase optimal control	Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Multiphysics	A First-Principle Model for Bacterial Cellulose-Based Ionic Sensors
Multirotor	Geometric Disturbance Observer Based Control for Multirotors
N
Navigation	Active Illumination for Visual Ego-Motion Estimation in the Dark
Network Digital Twin	A DRL Approach for Teleoperated Driving in 6G Network Digital Twin Framework
Networked Systems	Data Integrity in Networked Control Systems: Emerging Solutions Optimal Wireless Control With Channel State Detection and Message Dropout Compensation Dynamics of popularity in social media:The Roles of Network Effects and Recommendation Systems
Neural Networks	Learning dynamically stable Ultra-Slow Gait in Quadruped Robots Model-Structured Neural Networks for Road Friction-Aware Anti-Lock Braking Systems Adversarial Learning Attacks on Autoencoder-based models for Nonlinear Dynamical Systems Neural Model Predictive Control of Safety-Critical Biological Systems: an Application to Tumor-Immune Cancer Dynamics Triggered Methods for Reduced Function Evaluation in Neural Network Controllers
Nonlinear model predictive control	Solving Nonlinear MPC Problems in the Koopman Lifted Space: The Case Study of Mobile Robot Navigation in Cluttered Environments Motion planning for autonomous agricultural robots in unstructured terrain Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
Nonlinear optimal control	Closed-form SDRE Control for Second-Order Nonlinear Systems
Nonlinear Systems	A new combined approach for model class selection and parameters learning for nonlinear dynamical systems
numerical methods	monviso: A Python Package for Solving Monotone Variational Inequalities
O
object detection	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
Observer	High-Performance Motorbike Lean Angle Estimation
Observer Design	Parameter identification for an uncertain reaction-diffusion equation via setpoint regulation
Online system identification	A quadratic entropy algorithm for efficient online identification of LPV-ARX models using LS-SVM
opacity	Verification of trajectory-dependent opacity properties via fault diagnosis
Open Multi-Agent Systems	Stability of Paracontractive Open Multi-Agent Systems
Operational Digital Twin for Surface Wildfire Spread	Digital Twin for Wildfire Spreading: A New Hybrid Modeling Method Combining Continuous and Discrete Dynamics
Opinion dynamics	Innovation diffusion dynamics toward long-term behavioral shifts
optical sensor	Modelling of Miniaturized Optical Gyros for next gen ADCS
Optimal allocation	A comprehensive discrete-event model for optimal allocation and scheduling of electric bus charging
Optimal Control	Innovation diffusion dynamics toward long-term behavioral shifts Extended Abstract: Robust Decision-Making via Free Energy Minimization (DR-FREE) monviso: A Python Package for Solving Monotone Variational Inequalities Controllo ottimizzato del bolo insulinico tramite Deep Reinforcement learning Optimal control based maneuvering for virtua lvehicle prototypes
Optimal Control	Optimal Power Smoothing of Airborne Wind Energy Systems via Pseudo-Spectral Methods and Multi-objective Analysis
Optimal scheduling	A comprehensive discrete-event model for optimal allocation and scheduling of electric bus charging
Optimisation	A Simulation Study of Mixed Trucks and Robots for Last Mile Delivery
Optimization	Integral control of the proximal gradient method for unbiased sparse optimization Optimized Feedforward Control for the Co-administration of Propofol and Remifentanil for Induction of Hypnosis in General Anesthesia
Optimization algorithms	Integral control of the proximal gradient method for unbiased sparse optimization
Origin destination	Generalized Least Squares for Vehicle Traffic Estimation
Output regulation	Integral control of the proximal gradient method for unbiased sparse optimization Robust Bézier-based Trajectory Tracking
Output-feedback control	Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
P
Parameter identification	Parameter identification for an uncertain reaction-diffusion equation via setpoint regulation
path planning	Optimal Trajectory Planning for Drone Fleets in Complex Logistic Scenarios Motion planning for autonomous agricultural robots in unstructured terrain Multi-Objective Optimization Approach for Multi-Vehicle Path Planning in Hybrid Layout
path planning and coordination	Decentralized Path Planning and Coordination for Multi-AGV Systems in Non-Standardized Automated Warehouses
PDEs	Parameter identification for an uncertain reaction-diffusion equation via setpoint regulation
Petri Nets	Fault Detection in Partially Observed Petri Nets (POPN)
Pharmacokinetic-pharmacodynamic modeling	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Phase estimation	Online phase estimation of muldidimensional pseudo-periodic signals
photobioreactors	Removal of extracellular DNA for the optimization of production in closed systems.
Physical Systems	The Fast-Modeling Power-Oriented Graphs Procedure
Physics-based planning	Curvature-Based Grasp Planning for Electroadhesive Suction Cups
Physics-Informed Neural Networks	Extended Kalman Filter Informed Neural Network for discrete-time system identification and state reconstruction
PID control	Optimized Feedforward Control for the Co-administration of Propofol and Remifentanil for Induction of Hypnosis in General Anesthesia
Positive Real Systems	The Positive Real Characteristic Values of the Inverse Systems
Power Converter	Control of Multilevel Flying-Capacitor Converters Using Optimal Dynamic Programming Benchmark
Power converters	Control of Multi-Input DC-DC Converter based on Dynamic Input Allocation
Power Electronics	Control of Multilevel Flying-Capacitor Converters Using Optimal Dynamic Programming Benchmark
Precision Agriculture	Shared Control and Task Planning for Semi-Autonomous Robots in Agricultural Harvesting Tasks
Predictive control for nonlinear systems	Output-feedback long-term glucose control via physical activity management
Predictive Maintenance	Predictive Maintenance in Marine Diesel Engines: Data-Driven Approaches Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework
Preference-based learning	Learning the objective function of model predictive control from human preferences over pairwise system trajectories
Pseudo-periodic dynamics	Online phase estimation of muldidimensional pseudo-periodic signals
Q
Quadratic programming (QP) optimization problem	Thermal management of a school room via quadratic multi-objective optimization
Quadruple Tank Plant	Centralized and Distributed Reinforcement Learning in System of Systems: Application to a Quadruple Tank Plant
Quantitative systems pharmacology	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Quaternion Neural Networks	Control of Fusion Power Plants: from real-time data acquisition systems to advanced analysis and identification techniques
R
Raceway bioreactors	Advanced control strategies with applications to sustainable bioprocesses
Railway systems	Virtual Coupling Train Following Control Using High Order Control Barrier Functions
Random networks	Optimal intervention in opinion dynamics on large-scale networks
Randomized algorithms	Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution
Real-time CODAS	Control of Fusion Power Plants: from real-time data acquisition systems to advanced analysis and identification techniques
Real-time perception	Curvature-Based Grasp Planning for Electroadhesive Suction Cups
Reccomandation Systems	Dynamics of popularity in social media:The Roles of Network Effects and Recommendation Systems
Recurrent neural networks	Towards Compartmentalized Recurrent Neural Networks for Modeling Glucose-Insulin Dynamics Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
Recursive feasibility	Measured-state conditioned recursive feasibility for stochastic model predictive control
Recursive Gaussian Process	Learning-based quadrotor tracking control using Recursive Gaussian Processes - a PRIN DOCEAT contribution
Reference tracking	Learning-based quadrotor tracking control using Recursive Gaussian Processes - a PRIN DOCEAT contribution
Reinforcement Learning	Distributed Stability-Guaranteed Reinforcement Learning-based Control for Microgrid Voltage Regulation A Multi-Robot Collaborative Framework accounting for Tasks Cost and Heterogeneity and approached via Proximal Policy Optimization. Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment On the Power of Modularity in Data-Driven Cognitive Architectures for Rich and Interpretable Human-Machine Interaction Centralized and Distributed Reinforcement Learning in System of Systems: Application to a Quadruple Tank Plant
Renewable Energy	Modeling and Control for Airborne Wind Energy Systems
Resilient Control	Advances in Resilient and Secure Control of Networked Multi-Vehicle Systems in Adversary Environments
RGB–IR perception	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
road friction estimation	Model-Structured Neural Networks for Road Friction-Aware Anti-Lock Braking Systems
roadmap	Multi-Objective Optimization Approach for Multi-Vehicle Path Planning in Hybrid Layout
Robot Navigation	Learning-based control strategies for safe autonomous robot navigation in unknown environments
Robotic augmentation	Human-Robot Augmentation: Review and Perspectives on Supernumerary Robotic Limbs
robotic deburring	Self-Supervised Vision-Driven Trajectory Planning for Robotic Deburring
Robotic Digital Twins	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
Robotics	A Geometrically-informed Extention of STOMP for Effective Collition-free Motion Planning of Robotic Manipulators in Complex Environments Stability and Sensitivity Analyses in Variable Admittance Control for pHRI with Virtual Fixtures Active Illumination for Visual Ego-Motion Estimation in the Dark HCAI Robotics Research: a Bibliometric Analysis Learning-based control strategies for safe autonomous robot navigation in unknown environments Optimal control based maneuvering for virtua lvehicle prototypes
Robust Control	Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design
robust learning	Robust Online Learning over Networks
Root Locus	A new Algorithm for Root Locus Construction
ROS	A containerized distributed control architecture for heterogeneous swarm - a PRIN DOCEAT contribution
S
Safe Policy Learning	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment
Safety driven	Safety-driven motion planning and control of autonomous wheelchair
Sampled-data	Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
Satellite inspection
Satellite-Based Fuel Model Estimation	Digital Twin for Wildfire Spreading: A New Hybrid Modeling Method Combining Continuous and Discrete Dynamics
Scalability	d-TV-DBN: A Hierarchical and Distributed Architecture for Scalable Cyber-Physical Anomaly Detection with Bayesian Networks
Scenario Approach	Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution
Search	Continuous-Time Priority-Based Search for Multi-AGV Coordination in Industrial Environments
Secon-order nonlinear system	Closed-form SDRE Control for Second-Order Nonlinear Systems
Secret protection
Security	Decentralized Attack Detection and Localization for Finite State Machines Data Integrity in Networked Control Systems: Emerging Solutions
selective separation	Removal of extracellular DNA for the optimization of production in closed systems.
self-DNA	Removal of extracellular DNA for the optimization of production in closed systems.
self-supervised learning	Self-Supervised Vision-Driven Trajectory Planning for Robotic Deburring
Semantic Mapping	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
sEMG-based Robot Hand Control	Towards Reliable And Accurate Myoelectric Interfaces For Human-In-The-Loop Control Of Robot Hands: On The Need For Minimally Supervised Machine Learning Approaches
Sense of control	Quantifying the Perceived Sense of Control in Humamn-Robot Interaction by Exploiting the Hand Blink Reflex
Sensorimotor interface	Human-Robot Augmentation: Review and Perspectives on Supernumerary Robotic Limbs
signal processing	Learning-based Detection of Fault Type and Location in Electrical Distribution Networks Online phase estimation of muldidimensional pseudo-periodic signals
Sim-to-Real	Self-Supervised Vision-Driven Trajectory Planning for Robotic Deburring
Simulation	A Hierarchical Framework for the Management of Carpooling Using Autonomous Vehicles The Fast-Modeling Power-Oriented Graphs Procedure
Simulation error minimization	A constrained optimization approach to system identification through simulation error minimization
Sliding mode control	Nested Continuous Sliding Mode Control of Field Robots
sliding mode observer	Distributed Reconstruction of Sensor Cyber-Attacks in Cyber-Physical Networks
Sliding modes	Strict Lyapunov Functions for the Super-Twisting Consensus Algorithm
Sliding-mode control	Autonomous Driving in Highway Scenarios through Sliding Mode Control and Quadratic Artificial Potential Fields
Slow Gait	Learning dynamically stable Ultra-Slow Gait in Quadruped Robots
small unmanned aerial vehicles	Synchronization Model for Indoor Group Flights of DJI Tello Drones
Smart Sensors	A First-Principle Model for Bacterial Cellulose-Based Ionic Sensors
Smith Predictor	Design method to control time-delayed motion systems with integral action
Soft Grippers	Curvature-Based Grasp Planning for Electroadhesive Suction Cups
SOS	Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
Space mission management
Speed Planning	A convex reformulation for speed planning of a vehicle under the travel time and energy consumption objectives
Speed Planning	A MATLAB App for Teaching Multi-Objective Speed Planning: Minimizing Time and Energy Consumption
Stability Analysis	Stability and Sensitivity Analyses in Variable Admittance Control for pHRI with Virtual Fixtures
stability of hybrid systems	Lyapunov-based avoidance controllers with stabilizing feedback - a PRIN-DOCEAT contribution
state resets	Hybrid control strategies exploiting switches and state resets for improved closed-loop performances - a PRIN DOCEAT contribution
State-dependent Riccati Equation (SDRE)	Closed-form SDRE Control for Second-Order Nonlinear Systems
Statistical learning	Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution
statistical model	Modelling of Miniaturized Optical Gyros for next gen ADCS
Stochastic model predictive control	Measured-state conditioned recursive feasibility for stochastic model predictive control
SUMO	A Simulation Study of Mixed Trucks and Robots for Last Mile Delivery An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic
Supernumerary robotic limbs	Human-Robot Augmentation: Review and Perspectives on Supernumerary Robotic Limbs
sustainable cultivation	Removal of extracellular DNA for the optimization of production in closed systems.
Switched affine systems	Stabilization of Switched Affine Systems With Dwell-Time Constraint
synchronized flight	Synchronization Model for Indoor Group Flights of DJI Tello Drones
System Identification	A constrained optimization approach to system identification through simulation error minimization Adversarial Learning Attacks on Autoencoder-based models for Nonlinear Dynamical Systems Extended Kalman Filter Informed Neural Network for discrete-time system identification and state reconstruction Towards Compartmentalized Recurrent Neural Networks for Modeling Glucose-Insulin Dynamics
System Inversion	The Positive Real Characteristic Values of the Inverse Systems
System of Systems	Centralized and Distributed Reinforcement Learning in System of Systems: Application to a Quadruple Tank Plant
System Stability	A new Algorithm for Root Locus Construction
Systems Biology	A modular model integrating metabolism, growth, and cell cycle
T
Task Allocation	A Multi-Robot Collaborative Framework accounting for Tasks Cost and Heterogeneity and approached via Proximal Policy Optimization.
Teleoperated Driving	A DRL Approach for Teleoperated Driving in 6G Network Digital Twin Framework
Therapeutic window	A pharmacometric model for investigating multi-drug adaptive therapy protocols in gastric cancer digital twin patients
Thermal comfort	Thermal management of a school room via quadratic multi-objective optimization
Time-series Forecasting	Enhancing Pharmaceutical Batch Processes Monitoring with Predictive LSTM-based Framework
Time-Varying Directed Graphs	Average Consensus over Time-Varying Directed Graphs with Broadcast Communication
Time-varying Networks	Optimal intervention in opinion dynamics on large-scale networks Stability of Paracontractive Open Multi-Agent Systems
time-varying optimization	Robust Online Learning over Networks
traffic prediction	Decentralized Path Planning and Coordination for Multi-AGV Systems in Non-Standardized Automated Warehouses
Trajectory optimization	A Geometrically-informed Extention of STOMP for Effective Collition-free Motion Planning of Robotic Manipulators in Complex Environments Optimization Algorithms for Multiphase Pin-Point Lunar Landing Guidance
Type 1 Diabetes	Safe Learning-based Automated Insulin Delivery for Personalized Type 1 Diabetes Treatment Towards Compartmentalized Recurrent Neural Networks for Modeling Glucose-Insulin Dynamics
Type 1 diabetes mellitus	Fractional Order Modeling and Control of Type 1 Diabetes with Genetic Algorithm Optimization
U
UAV	Optimal Trajectory Planning for Drone Fleets in Complex Logistic Scenarios Learning-based quadrotor tracking control using Recursive Gaussian Processes - a PRIN DOCEAT contribution
Uncertain systems	Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution Learning Quasi-LPV Models and Robust Control Invariant Sets with Reduced Conservativeness
Urban Simulation	A Simulation Study of Mixed Trucks and Robots for Last Mile Delivery
V
variational inequalities	monviso: A Python Package for Solving Monotone Variational Inequalities
vehicle control	Model-Structured Neural Networks for Road Friction-Aware Anti-Lock Braking Systems
vehicle dynamics	Model-Structured Neural Networks for Road Friction-Aware Anti-Lock Braking Systems
Vehicle Routing Problem	Optimal Trajectory Planning for Drone Fleets in Complex Logistic Scenarios
Vehicles	Optimal control based maneuvering for virtua lvehicle prototypes
Video-based Real-Time Monitoring	AUTOMATIC LABEL-FREE SYSTEM FOR CELL VIABILITY ON-A-CHIP
Virtual coupling	Virtual Coupling Train Following Control Using High Order Control Barrier Functions
Virtual Fixtures	Stability and Sensitivity Analyses in Variable Admittance Control for pHRI with Virtual Fixtures
Virtual Reality and Interfaces	Enabling Hands-Free Augmented Reality with Robotic Manipulators
Virtual Safety Barriers	Safety-Driven Multi-Layer Controller Design for Mobile Robot Navigation
vision-based navigation	FATS-V: Fusion by Agreement with Trust Scaling and Verification for Robust RGB–IR Obstacle and Path Detection
vision-driven motion planning	Self-Supervised Vision-Driven Trajectory Planning for Robotic Deburring
Visual Control	Exploring Counterfactual Data Augmentation for Offline Deep Reinforcement Learning in Visual Control
Visual-Odometry	Active Illumination for Visual Ego-Motion Estimation in the Dark
Visual-SLAM	Active Illumination for Visual Ego-Motion Estimation in the Dark
W
Warehouse	Continuous-Time Priority-Based Search for Multi-AGV Coordination in Industrial Environments
Washout Control Design	Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
wastewater treatment	Removal of extracellular DNA for the optimization of production in closed systems.
Wave height prediction	Data-Driven Forecasting for Maritime Safety: Oil spill and Wave Dynamics Prediction
Wind Energy	Modeling and Control for Airborne Wind Energy Systems
Wind Energy	Optimal Power Smoothing of Airborne Wind Energy Systems via Pseudo-Spectral Methods and Multi-objective Analysis
Wiring Harness	A Robotic System for Wiring Harness Manufacturing
Z
Zipping	Curvature-Based Grasp Planning for Electroadhesive Suction Cups

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