141 citations · 286 across the 22 of their papers we have counts for
9 papers · 1 filter
Hybrid Set-Seeking Systems: Model-Free Feedback Optimization via Hybrid Inclusions
Jorge I. Poveda, Andrew R. Teel
This article aims to provide an accessible, tutorial-style introduction to hybrid extremum-seeking systems, which are model-free, feedback-optimization controllers that incorporate…
Robust Recurrence of Discrete-Time Infinite-Horizon Stochastic Optimal Control with Discounted Cost
Robert H. Moldenhauer, Dragan Nešić, Mathieu Granzotto +2
We analyze the stability of general nonlinear discrete-time stochastic systems controlled by optimal inputs that minimize an infinite-horizon discounted cost. Under a novel stochas…
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This paper develops a data-driven stabilization method for continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framewo…
Further results on synergistic Lyapunov functions and hybrid feedback design through backstepping
Christopher G. Mayhew, Ricardo G. Sanfelice, Andrew R. Teel
We extend results on backstepping hybrid feedbacks by exploiting synergistic Lyapunov function and feedback (SLFF) pairs in a generalized form. Compared to existing results, we del…
On the Differentiability of Projected Trajectories and the Robust Convergence of Non-convex Anti-Windup Gradient Flows
Adrian Hauswirth, Florian Dörfler, Andrew Teel
This paper concerns a new class of discontinuous dynamical systems for constrained optimization. These dynamics are particularly suited to solve nonlinear, non-convex problems in c…
Anti-Windup Approximations of Oblique Projected Dynamics for Feedback-based Optimization
Adrian Hauswirth, Florian Dörfler, Andrew Teel
In this paper we study how high-gain anti-windup schemes can be used to implement projected dynamical systems in control loops that are subject to saturation on a (possibly unknown…