Optimal Control of Switched Dynamical Systems Under Dwell Time Constraints - Theory and Computation

Date

2024-10-09

Advisors

Journal Title

Journal ISSN

ISSN

0018-9286
1558-2523
2334-3303

Volume Title

Publisher

IEEE

Type

Article

Peer reviewed

Yes

Abstract

This paper addresses the problem of optimal mode scheduling subject to dwell time constraints, which is the minimum amount of time a system has to spend in one mode before it can transition to another. The constraint is important since most physical systems cannot switch rapidly between different modes and its presence also eliminates the problem of chattering solutions by construction. We investigate the topology of the optimization space and show that it lacks structure to define local minima. A framework is developed for defining optimal solutions as stationary points of optimality functions and an optimality function is proposed for characterizing the necessary conditions for optimality. The challenges posed by dwell time constraints to algorithmic implementation are addressed by exploring the geometric properties of the so-called mode insertion gradient, and a technique is developed for rapidly updating of the mode sequence. The algorithm's convergence to an optimal solution is proved and simulation results are provided to demonstrate the algorithm's efficacy.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The problem is in the area of control systems and is co-authored with Professor Magnus Egestedt, currently Dean at University of California at Irvine, Irvine, USA. He is IEEE fellow and also president of Control Systems Society.

Keywords

Dwell time, Hybrid Systems, Mode Scheduling, Optimal Control, Switched Systems

Citation

Ali, U. and Egerstedt, M. (2024) Optimal Control of Switched Dynamical Systems Under Dwell Time Constraints - Theory and Computation. IEEE Transactions on Automatic Control,

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/

Research Institute

Institute of Sustainable Futures