Predictive Control on Limited Hardware: Communication Bandwidth and Computing Power

Robust solutions with chance-constraints of uncertain optimal control problems

Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

Fréchet Problems and Convex Programming

Distributed scenario based stochastic optimization over multi-agent networks

Fast parallelizable scenario-based stochastic optimization

A Simple and Efficient Optimization Algorithm for Nonlinear MPC

Low-complexity iterative method for embedded hybrid MPC

An SQP-type method without really solving the QPs

Exploring trade-offs in predictive control on reconfigurable computing platforms

Inexact Newton-Type Optimization with Iterated Sensitivities for Direct Optimal Control

Stochastic optimal experiment design for parameter estimation of biochemical processes

A Feedback Optimal Control Algorithm with Sampling Timepoints by Optimum Experimental Design

Formulations and Algorithms for Continuous Optimum Experimental Design Revisited

Optimal Sensor Placement for Data Assimilation Problems

Optimum experimental design for aircraft parameter estimation

Optimization of flexible demand of a cluster of buildings via distributed model predictive control

Impact of the controller model complexity on MPC performance evaluation for building climate control

Online distributed motion planning for multi-vehicle systems using receding-horizon ADMM

Road condition monitoring system using the parameters identification of LuGre tyre friction model

A new method for continuous multi-objective weather routing based on combination of multi- and single objective optimization

Powertrain system design using computation design synthesis

Predictive Energy Management Strategy Including Traffic Flow Data for Hybrid Electric Vehicles

Time-varying MPC-based energy management for HEV including engine stop-start

Toolbox for Control and Design Co-optimization of Hybrid Powertrains

Extension of the ECMS to the real-time energy management of hybrid vehicles with thermal dynamics

Backward step control globalization for nonlinear problems in function space

On the application of MGopt for DNS-based optimal control of turbulent flows

Regularized adjoint method for PDE constrained optimization

PDE-constrained optimal control of large-scale wind farms

Optimum Experimental Design by Shape Optimization of Specimens in Linear Elasticity

Multi-material topology optimization of viscoelastically damped structures using a parametric level set method

Structural design considering damage within an XFEM-level set framework

A robust topology optimization approach to the design of elastic wave barriers

ERI-RBM: Learning Rotation-Invariant Features using Restricted Boltzmann Machine

Adaptive predictive control based on Gaussian process model

Predictive Control with Model Uncertainty Estimation using Gaussian Process Regression

One-Class Least Squares Support Vector Machines for Outlier Detection in Chemical Batch Processes

Optimal control of a semi-discrete Cahn-Hilliard/Navier-Stokes system with variable densities

Quasi-variational Inequalities with Non-local Differential Operators

A guided tour of polyhedric sets

B-spline based certificates of positivity