控制理论(社会学)
可达性
控制器(灌溉)
滑模控制
模糊逻辑
计算机科学
模式(计算机接口)
理论(学习稳定性)
Lyapunov稳定性
数学
控制(管理)
非线性系统
物理
算法
操作系统
人工智能
机器学习
生物
量子力学
农学
作者
Yushun Tan,Jiajing Liu,Xiangpeng Xie,Engang Tian,Jinliang Liu
出处
期刊:IEEE Transactions on Circuits and Systems Ii-express Briefs
[Institute of Electrical and Electronics Engineers]
日期:2023-03-14
卷期号:70 (9): 3418-3423
被引量:17
标识
DOI:10.1109/tcsii.2023.3257088
摘要
This brief investigates event-triggered sliding mode control (SMC) for fuzzy semi-Markovian jump systems (S-MJSs) subject to limited communication capacity, in which we consider the network-induced transmission delay, dead-zone input and partially unknown transition rates of jumping mode in a whole framework. First, an event-triggered mechanism (ETM) is employed in the sensor-to-controller channel to save network resources efficiently. Then, a novel integral sliding surface is obtained with the aid of the event-triggered state information, and some new sufficient conditions on the stochastic stability of the overall closed-loop system are given in the sense of partially unknown transition rates via stochastic stability theory and matrix inequality method. Furthermore, a mode-depended sliding mode controller is designed to guarantee the reachability of the sliding surface in finite time by using the Lyapunov stability theory. Finally, a TD circuit model is provided to illustrate the validity of the proposed control scheme.
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