10 papers
Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations
Christopher Anthony Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy
Applying nonlinear model predictive control (NMPC) to systems with hybrid dynamics or discrete actions typically yields mixed-integer nonlinear programs (MINLPs), whose real-time s…
Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
Self-interested behavior in sharing economies often leads to inefficient aggregate outcomes compared to a centrally coordinated allocation, ultimately harming users. Yet, centraliz…
Safe Feedback Optimization through Control Barrier Functions
Giannis Delimpaltadakis, Pol Mestres, Jorge Cortés +1
Feedback optimization refers to a class of methods that steer a control system to a steady state that solves an optimization problem. Despite tremendous progress on the topic, an i…
Solution Concepts and Existence Results for Hybrid Systems with Continuous-time Inputs
W. P. M. H. Heemels, R. Postoyan, P. Bernard +2
In many scenarios, it is natural to model a plant's dynamical behavior using a hybrid dynamical system influenced by exogenous continuous-time inputs. While solution concepts and a…
Data-Driven Stabilization Using Prior Knowledge on Stabilizability and Controllability
Amir Shakouri, Henk J. van Waarde, Tren M. J. T. Baltussen +1
In this work, we study data-driven stabilization of linear time-invariant systems using prior knowledge of system-theoretic properties, specifically stabilizability and controllabi…
Verification and Synthesis of Discrete-Time Control Barrier Functions
Erfan Shakhesi, W. P. M. H. Heemels, Alexander Katriniok
Discrete-time Control Barrier Functions (DTCBFs) have recently attracted interest for guaranteeing safety and synthesizing safe controllers for discrete-time dynamical systems. Thi…