67 citations · 324 across the 46 of their papers we have counts for
8 papers · 1 filter
On the Value Function of Infinite-Horizon Optimal Control of Piecewise Affine Systems
Francesco Cordiano, Kanghui He, Bart De Schutter
In this paper, we study the structure of the value function in constrained infinite-time optimal control (CITOC) problems of piecewise affine (PWA) systems, with or $\ell_…
Learning-Based Stochastic Optimal Control with Infinite-Horizon Probabilistic Constraints
Francesco Cordiano, Kanghui He, Bart De Schutter
In this paper, we consider stochastic optimal control problems with infinite-horizon joint chance constraints. By means of an appropriate state augmentation, we reformulate the ori…
Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems
Changrui Liu, Shengling Shi, Bart De Schutter
Model mismatch often poses challenges in model-based controller design. This paper investigates model predictive control (MPC) of uncertain linear systems with input constraints, f…
Scenario Reduction with Guarantees for Stochastic Optimal Control of Linear Systems
Francesco Cordiano, Bart De Schutter
Scenario reduction algorithms can be an effective means to provide a tractable description of the uncertainty in optimal control problems. However, they might significantly comprom…
Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
Samuel Mallick, Azita Dabiri, Bart De Schutter
This paper presents a novel approach for distributed model predictive control (MPC) for piecewise affine (PWA) systems. Existing approaches rely on solving mixed-integer optimizati…
Controllability of Linear Positive Systems: An Alternative Formulation
Yashar Zeinaly, Jan H. van Schuppen, Bart De Schutter
An alternative formulation for the controllability problem of single input linear positive systems is presented. Driven by many industrial applications, this formulations focuses o…
A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley
Minh Dang Doan, Pontus Giselsson, Tamás Keviczky +2
A distributed model predictive control (DMPC) approach based on distributed optimization is applied to the power reference tracking problem of a hydro power valley (HPV) system. Th…
A distributed optimization-based approach for hierarchical model predictive control of large-scale systems with coupled dynamics and constraints
Minh Dang Doan, Tamás Keviczky, Bart De Schutter
We present a hierarchical model predictive control approach for large-scale systems based on dual decomposition. The proposed scheme allows coupling in both dynamics and constraint…