Stabilization for Switched Systems Based on Switching Event-Triggered Bumpless Transfer Strategy

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yani Yang;Yue-E Wang;Di Wu
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引用次数: 0

Abstract

This article studies the stabilization problem and the bumpless transfer performance for switched systems. First, a novel switching event-triggered bumpless transfer strategy (SETBTS) with input bias and waiting time is proposed. Compared with existing event-triggered strategies, the proposed SETBTS has two advantages: 1) a waiting time to directly eliminate the Zeno phenomenon and 2) an input bias to overcome the influence of control bumps on the control performance. Then, based on the new SETBTS, the generalized bumpless transfer criteria are given to state the control amplitude level at the switching instants. Next, switching Lyapunov functional method is utilized to obtain sufficient criteria to ensure the globally uniformly exponential stability and the bumpless transfer performance for the considered systems. Moreover, the solvability conditions of the parameter matrices in SETBTS and the controller gains are established. Finally, the validity of the proposed methodology is verified by two examples.
基于交换事件触发无颠簸传输策略的交换系统镇定
研究了切换系统的镇定问题和无碰撞传输性能。首先,提出一种具有输入偏置和等待时间的切换事件触发无颠簸传输策略(SETBTS)。与已有的事件触发策略相比,所提出的SETBTS具有两个优势:1)等待时间可以直接消除芝诺现象;2)输入偏置可以克服控制颠簸对控制性能的影响。然后,基于新的SETBTS,给出了描述切换时刻控制幅值水平的广义无碰撞转移准则。其次,利用切换Lyapunov泛函方法,得到了系统全局一致指数稳定性和无碰撞传递性能的充分判据。此外,还建立了SETBTS中参数矩阵的可解性条件和控制器增益。最后,通过两个算例验证了所提方法的有效性。
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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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