控制理论(社会学)
控制器(灌溉)
执行机构
计算机科学
模糊逻辑
网络控制系统
事件(粒子物理)
Lyapunov稳定性
理论(学习稳定性)
非线性系统
控制工程
控制(管理)
工程类
人工智能
物理
量子力学
机器学习
农学
生物
作者
Huiyan Zhang,Ning Zhao,Shuoyu Wang,Ramesh K. Agarwal
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:53 (12): 7989-7999
被引量:42
标识
DOI:10.1109/tcyb.2023.3264820
摘要
This article addresses the problem of event-triggered dynamic output feedback controller design for networked Takagi-Sugeno (T-S) fuzzy systems subject to actuator failure and deception attacks. In order to save network resources effectively, two event-triggered schemes (ETSs) are introduced to test whether the measurement output and control input are transmitted under network communication. While the ETS brings advantages, it also leads to a mismatch between the premise variables of the system and the controller. To solve this problem, an asynchronous premise reconstruct method is considered, which relaxes the condition of the previous results that the premises of the plant and the controller are synchronous. Furthermore, two crucial factors, including actuator failure and deception attacks, are taken into consideration simultaneously. Then, the mean square asymptotic stability conditions of the resultant augmented system are derived by utilizing the Lyapunov stability theory. Besides, controller gains and event-triggered parameters are co-designed with the help of linear matrix inequality techniques. Finally, a cart-damper-spring system and a nonlinear mass-spring-damper mechanical system are presented to verify the theoretical analysis.
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