Prescribed-Time Control in Switching Systems with Resets: A Hybrid Dynamical Systems Approach

TL;DR

This paper develops a hybrid dynamical systems framework to achieve prescribed-time stability in switching systems with resets, extending existing continuous-time approaches to more complex hybrid scenarios with multiple applications.

Contribution

It introduces new switching conditions and analysis tools for prescribed-time stability in hybrid systems with resets, including unstable modes and diverse applications.

Findings

Achieves prescribed-time stability in hybrid switching systems with resets.

Extends prescribed-time control methods beyond continuous-time systems.

Demonstrates applications in regulation, control under uncertainty, and game theory.

Abstract

We consider the problem of achieving prescribed-time stability (PT-S) in a class of hybrid dynamical systems that incorporate switching nonlinear dynamics, exogenous inputs, and resets. By "prescribed-time stability", we refer to the property of having the states converge to a particular compact set of interest before a given time defined a priori by the user. We focus on dynamical systems that achieve this property via time-varying gains. For continuous-time systems, this approach has received significant attention in recent years, with various applications in control, optimization, and estimation problems. However, its extensions beyond continuous-time systems have been limited. This gap motivates this paper, which introduces a novel class of switching conditions for switching systems with resets that incorporate time-varying gains, ensuring the PT-S property even in the presence of unstable modes. The analysis leverages tools from hybrid dynamical system's theory, and a contraction-dilation property that is established for the hybrid time domains of the solutions of the system. We present the model and main results in a general framework and subsequently apply them to three novel applications: (a) PT regulation of switching plants with no common Lyapunov functions; (b) PT control of dynamic plants with uncertainty and intermittent feedback; and (c) PT decision-making in non-cooperative switching games via hybrid Nash seeking dynamics.