Observer-Based Dissipative ISMC for Asynchronous Switched Systems: A Novel LMI Technique

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
T. Saravanakumar;Quanxin Zhu;Chee Peng Lim
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引用次数: 0

Abstract

This work reports design problem of the observer-based integral sliding mode control for switched time-delay systems via asynchronous switching and dissipative condition. The main purpose of observer is to estimate the system’s entire state information based on measurement outputs, and further the observer states are used to create the controller. First, an improved free-weighting matrix inequality is introduced for concerning switched systems (SSs) to reduce conservatism of the integral terms. Then, a novel asymmetric Lyapunov-Krasovskii functional (LKF) is constructed for analysing the exponential stability of SSs with time-delay. With the help of improved integral inequality and novel LKF, a new set of sufficient conditions is developed in the form of linear matrix inequalities (LMIs). The developed criteria based on the sliding mode controller with observer scheme ensure that the proposed systems is exponentially stable with dissipative performance. Finally, numerical simulations are given to illustrate the usefulness and benefit of the proposed methods.
基于观测器的异步交换系统耗散ISMC:一种新的LMI技术
本文报道了基于观测器的切换时滞系统异步切换和耗散条件下的积分滑模控制设计问题。观测器的主要目的是基于测量输出估计系统的整个状态信息,并进一步使用观测器状态来创建控制器。首先,针对切换系统引入了改进的自由权矩阵不等式,降低了积分项的保守性。然后,构造了一种新的非对称Lyapunov-Krasovskii泛函(LKF),用于分析具有时滞的SSs的指数稳定性。利用改进的积分不等式和新的LKF,以线性矩阵不等式(lmi)的形式建立了一组新的充分条件。基于滑模控制器观测器方案的准则保证了系统具有指数稳定的耗散性能。最后,通过数值模拟说明了所提方法的有效性和优越性。
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
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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