控制器(灌溉)
模糊逻辑
马尔可夫链
异步通信
理论(学习稳定性)
数学
控制理论(社会学)
模糊控制系统
马尔可夫过程
计算机科学
应用数学
控制(管理)
人工智能
统计
机器学习
计算机网络
农学
生物
作者
Likui Wang,Yinghong Zhao,Xiangpeng Xie,Hak‐Keung Lam
标识
DOI:10.1109/tfuzz.2023.3302134
摘要
Till now, most of the results on Takagi–Sugeno (T-S) fuzzy Markov jump systems are synchronous and independent of the analysis of membership functions (MFs), which leads to conservatism. Therefore, it is significant to study the MFs-dependent Lyapunov–Krasovskii functional (LKF) while considering asynchrony. This article investigates the ${H_\infty }$ control issue of T-S fuzzy Markov jump systems with time-varying delay. First, delay-product-type terms and MFs are introduced to design a new LKF, which fully utilizes the information of time-varying delay and MFs simultaneously. Moreover, based on a hidden Markov model, the controller mode is assumed to operate asynchronously with the system mode, and an asynchronous switching fuzzy controller is proposed by employing the switching approach. Thus, a more practical and less conservative stability criterion is obtained to ensure that the closed-loop system is stochastically stable with ${H_\infty }$ performance. Finally, three examples are provided to illustrate the superiority and practicability of the presented method.
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