Stabilization of aperiodic sampled-data switched affine systems to hybrid limit cycles

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

Abstract

This paper deals with the stabilization of aperiodic sampled-data switched affine systems to a predetermined hybrid limit cycle using a hybrid dynamical system representation and a control Lyapunov function approach. Some preliminaries on the hybrid dynamical system formalism provide the framework for modeling switched affine systems followed by definitions on hybrid limit cycles and related notions. The main result, based on simple Linear Matrix Inequalities (LMI), guarantees that the solutions to the closed-loop system converge to a hybrid limit cycle defined by the states, functioning modes with their corresponding dwell times. The theoretical results are evaluated on academic examples and demonstrate the potential and the originality of the method over the recent literature.

非周期性采样数据交换仿射系统的稳定与混合极限循环
本文利用混合动力系统表示法和控制 Lyapunov 函数方法,讨论了非周期性采样数据切换仿射系统稳定到预定混合极限周期的问题。关于混合动力系统形式的一些前言提供了开关仿射系统建模的框架,随后是混合极限周期和相关概念的定义。主要结果以简单的线性矩阵不等式(LMI)为基础,保证闭环系统的解收敛于由状态、运行模式及其相应停留时间定义的混合极限循环。理论结果通过学术范例进行了评估,并证明了该方法与近期文献相比所具有的潜力和独创性。
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
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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