规定时间稳定性的类lyapunov表征:控制器和观测器设计

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jixing Lv;Changhong Wang;Lihua Xie
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引用次数: 0

摘要

现有研究缺乏严格的稳定概念来规定动力系统的实际沉降时间。本文提出了非自治动态系统的规定时间稳定性,并将其推广到不确定系统的规定时间有界性。利用一类有界时变函数,给出了保证动态系统具有定时稳定性/有界性的类李雅普诺夫条件。有趣的是,以前的类lyapunov定理可以统一到我们的框架中,以实现预定时间稳定性。为了验证该框架,首先针对一般仿射系统设计了一个定时控制器,该控制器需要比PDT控制更小的初始控制信号。在此基础上,提出了一种适用于领导-跟随多智能体系统的广义规则时间分布式观测器设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lyapunov-Like Characterization of Stipulated-Time Stability: Controller and Observer Design
There is a lack of rigorous stability concept which can stipulate the actual settling time of a dynamic system in existing studies. In this article, a stipulated-time stability for nonautonomous dynamic systems is proposed, which is then extended to stipulated-time boundedness for uncertain systems. By using a class of bounded time-varying functions, Lyapunov-like conditions to ensure a dynamic system to exhibit stipulated-time stability/boundedness are developed. It is interesting that previous Lyapunov-like theorems for predefined-time (PDT) stability can be unified into our framework to achieve stipulated-time stability. To validate the framework, a stipulated-time controller is first designed for a general affine system, which requires a smaller initial control signal than that of PDT control. Furthermore, a generalized design of stipulated-time distributed observer for leader-following multiagent systems is proposed.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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