Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking
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Date
2021
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
This paper proposes a general framework for
constructing feedback controllers that drive complex dynamical systems to “efficient” steady-state (or slowly varying) operating points. Efficiency is encoded using generalized equations which can model a broad spectrum of useful objectives, such as optimality or equilibria (e.g. Nash, Wardrop, etc.) in noncooperative games. The core idea of the proposed approach is to directly implement iterative solution (or equilibrium seeking) algorithms in closed loop with physical systems. Sufficient conditions for closed-loop stability and robustness are derived; these also serve as the first closed-loop stability results for sampleddata feedback-based optimization. Numerical simulations of smart building automation and game-theoretic robotic swarm coordination support the theoretical results.
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Publication status
published
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Editor
Book title
2021 60th IEEE Conference on Decision and Control (CDC)
Journal / series
Volume
Pages / Article No.
2702 - 2708
Publisher
IEEE
Event
Workshop Control for Autonomous Cities at the 60th IEEE conference on Decision and Control (CDC 2021)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
CONTROL SYSTEMS THEORY (MATHEMATICS); Optimization algorithms; Game theoretical methods; GAME THEORY (MATHEMATICS)
Organisational unit
03751 - Lygeros, John / Lygeros, John
09478 - Dörfler, Florian / Dörfler, Florian
Notes
Conference lecture held on December 12, 2021
Funding
Related publications and datasets
Is supplemented by: https://doi.org/10.3929/ethz-b-000476434