伯努利分布
控制理论(社会学)
伯努利原理
控制器(灌溉)
跳跃式监视
异步通信
模糊逻辑
模糊控制系统
数学
计算机科学
线性矩阵不等式
数学优化
控制(管理)
随机变量
工程类
人工智能
统计
航空航天工程
生物
计算机网络
农学
作者
Jinnan Luo,Wenhong Tian,Shouming Zhong,Kaibo Shi,Daixi Liao
标识
DOI:10.1016/j.jfranklin.2019.10.022
摘要
In this study, the non-fragile asynchronous reliable sampled-data control for uncertain Takagi–Sugeno fuzzy systems with Bernoulli distribution is addressed. The system involves both the randomly occurring uncertainties of parameters in the fuzzy system model and randomly occurring gain perturbations of the controller. By introducing three stochastic variables, a new model structure satisfying Bernoulli distribution is formulated to describe the system and the controller. The main purpose of this study is to design the non-fragile asynchronous reliable sampled-data controller such that the considered system is finite-time bounded and possesses finite-time mixed H∞ and passive performance. Based on an improved Lyapunov–Krasovskii functional, newly bounding inequalities and stochastic processing method, new conditions satisfying the required result are derived for the uncertain fuzzy systems in terms of linear matrix inequalities. Moreover, a modified non-fragile asynchronous reliable sampled-data controller is designed. Finally, two numerical examples are given to demonstrate the effectiveness of the presented results.
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