Event-triggered and self-triggered impulsive control for two-time-scale systems

被引：0
|
作者：
Yu, Tian-tian
Wang, Yan-wu [1 ]
Lei, Yan
Liu, Xiao-kang
Liu, Zhi-wei
机构：
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
来源：
NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2023年 / 48卷
基金：
中国国家自然科学基金;
关键词：
Two-time-scale system; Stability; Event-triggered impulsive control; Self-triggered impulsive control; Interconnected systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies the stability problem of two-time-scale system via event-triggered impulsive control and self-triggered impulsive control. The overall system is modeled with the hybrid formalism. Two Chang transformations are introduced to completely decouple the hybrid system states into flow set and jump set. A composite impulsive controller based on slow and fast system states is proposed, under which the slow and fast subsystems are simultaneously triggered by event-triggered and selftriggered mechanism, respectively. As a result, the stability conditions are derived for the system under event-triggered and self-triggered impulsive control, respectively. Furthermore, the theoretical result of self-triggered impulsive control is applied to the consensus of the interconnected two-time-scale systems. Finally, simulation examples and comparison study show the effectiveness of the proposed control strategies. (c) 2022 Elsevier Ltd. All rights reserved.
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页数：17
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