新型模相关动态事件触发脉冲控制下切换系统的输入-状态稳定性

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Lijun Gao, Mengjie Li, Suo Yang
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引用次数: 0

摘要

本文的目的是研究非线性切换系统,并通过动态事件触发脉冲控制(DETIC)方案获得输入到状态稳定(ISS)的条件,其中脉冲瞬间是由一种新的模式相关的动态事件触发脉冲机制(MD-DETIM)产生的。切换瞬间可能不会与事件触发瞬间同步。与传统的静态事件触发脉冲控制(ETIC)不同,MD-DETIM可以大大减少数据更新次数,显著节省通信传输资源。基于模相关动态事件触发脉冲控制(MD-DETIC)方案和允许边相关平均停留时间切换规则,建立了基于lyapunov的结果,有效地保证了非线性切换系统的ISS。同时,相邻两个触发瞬间之间的触发间隔需要得到一个正的最小界,以排除芝诺行为。最后,通过两个实例说明本文结论的有效性和低保守性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Input-To-State Stability of Switched Systems Under the New Mode-Dependent Dynamic Event-Triggered Impulsive Control

The aim of this article is to study non-linear switched systems and obtain conditions of input-to-state stability (ISS) via dynamic event-triggered impulsive control (DETIC) scheme, where the impulse instants are produced by a novel mode-dependent dynamic event-triggered impulsive mechanism (MD-DETIM). The switching instants may not be synchronized with the event triggering instants. Different from conventional static event-triggered impulsive control (ETIC), the MD-DETIM can greatly decrease the number of data updates and significantly save communication transmission resource. Based on the mode-dependent dynamic event-triggered impulsive control (MD-DETIC) scheme and the admissible edge-dependent average dwell time switching rule, Lyapunov-based results are created, which can effectively guarantee ISS of non-linear switched systems. Meanwhile, a positive minimum bound is needed to obtain for triggering interval between any two adjacent triggering instants to exclude Zeno behavior. Eventually, two examples are provided to explicate the validity and less conservativeness of conclusions in this paper.

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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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