5 papers
Distributionally Robust PAC-Bayesian Control
Domagoj Herceg, Duarte Antunes
We present a distributionally robust PAC-Bayesian framework for certifying the performance of learning-based finite-horizon controllers. While existing PAC-Bayes control literature…
Formal Entropy-Regularized Control of Stochastic Systems
Menno van Zutphen, Giannis Delimpaltadakis, Duarte J. Antunes
Analyzing and controlling system entropy is a powerful tool for regulating predictability of control systems. Applications benefiting from such approaches range from reinforcement…
How improving performance may imply losing consistency in event-triggered consensus
David Meister, Duarte J. Antunes, Frank Allgöwer
Event-triggered control is often argued to lower the average triggering rate compared to time-triggered control while still achieving a desired control goal, e.g., the same perform…
Event-triggered control cannot improve the gain of optimal periodic control and transmit at a smaller average rate
Duarte J. Antunes, J. P. Hespanha
We consider a standard discrete-time event-triggered control setting by which a scheduler collocated with the plant's sensors decides when to transmit sensor data to a remote contr…
Optimal sampling schedules for and state-feedback control
Duarte J. Antunes, J. P. Hespanha
We consider a discrete-time linear system for which the control input is updated at every sampling time, but the state is measured at a slower rate. We allow the state to be sample…