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arXiv · 2311.18020

Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems

Yiting Chen·Liliaokeawawa Cothren·Jorge Cortes·Emiliano Dall'Anese
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Abstract

This paper considers the problem of regulating a dynamical system to equilibria that are defined as solutions of an input- and state-constrained optimization problem. To solve this regulation task, we design a state feedback controller based on a continuous approximation of the projected gradient flow. We first show that the equilibria of the interconnection between the plant and the proposed controller correspond to critical points of the constrained optimization problem. We then derive sufficient conditions to ensure that, for the closed-loop system, isolated locally optimal solutions of the optimization problem are locally exponentially stable and show that input constraints are satisfied at all times by identifying an appropriate forward-invariant set.

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Yiting Chen, Liliaokeawawa Cothren, Jorge Cortes, Emiliano Dall'Anese. 2023-11-29. Online Regulation of Dynamical Systems to Solutions of Constrained Optimization Problems. https://arxiv.org/abs/2311.18020

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