Stability With Safety Analysis for Switched Systems via Multiple Lyapunov and Barrier Functions

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Junjie Lu, Bodan Liu, Zhikun She, Shunkun Yang
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引用次数: 0

Abstract

Safety and stability are two critical issues in many practical switched control systems, particularly those used in industrial, transportation, medical, and other high-risk applications where failure could lead to serious consequences. This paper is concerned with the issue of proposing sufficient conditions for simultaneously verifying the stability and safety of time-varying switched nonlinear systems (TSNS) under a state-dependent but unsafe-region-independent switching signal. Specifically, based on multiple Lyapunov functions and multiple barrier functions, we at first present several sufficient conditions for simultaneously obtaining the (uniform) stability with safety, (uniform) asymptotic stability with safety, and (uniform) exponential stability with safety of TSNS with any form of unsafe set. Furthermore, considering the broad applications of finite-time stability in practical systems, a sufficient condition for simultaneously achieving finite-time stability and safety is presented. Note that the above conditions relax the requirements of the nonincreasing property of the multiple Lyapunov functions and multiple barrier functions along the trajectories of TSNS. In the end, the effectiveness of our results is illustrated by four examples.

基于多重Lyapunov和Barrier函数的切换系统稳定性与安全性分析
安全性和稳定性是许多实际开关控制系统的两个关键问题,特别是在工业、交通、医疗和其他高风险应用中,故障可能导致严重后果。本文研究了在状态相关但不安全区域无关的切换信号下,时变切换非线性系统(TSNS)的稳定性和安全性同时验证的充分条件。具体地说,基于多个Lyapunov函数和多个障函数,我们首先给出了具有任意形式的不安全集的TSNS同时具有安全的(一致)稳定性、安全的(一致)渐近稳定性和安全的(一致)指数稳定性的几个充分条件。进一步,考虑到有限时间稳定性在实际系统中的广泛应用,给出了同时实现有限时间稳定性和安全性的充分条件。注意,上述条件放宽了沿TSNS轨迹的多个Lyapunov函数和多个势垒函数的非递增性要求。最后,通过四个实例说明了本文研究结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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