Fuzzy-Model-Based Robust Stability of Nonlinear Networked Control Systems with Input Missing
This paper is concerned with fuzzy-model based robust stability of nonlinear networked control systems(NCSs)with time-varying transmission delays,transmission intervals and input missing based on a random-delay approach.The real-time distribution of input delays resulting from transmission delays and intervals is modeled as a dependent and nonidentically distributed process,and the occurrence of input missing is represented as a Bernoulli process.Then a randomly switched Takagi-Sugeno fuzzy system with multiple input-delay subsystems is proposed to model the nonlinear NCSs.Based on an improved Lyapunov-Krasovskii method,which takes into account the real-time distribution of input delays in estimating cross-product integral terms,new sufficient conditions are derived for the mean-square robust exponential stability of the overall systems.Numerical examples are presented to substantiate the effectiveness of our results.
Networked control system Takagi-Sugeno fuzzy model Random-delay approach
Xiangyang Jia Bin Tang Defeng He Shiguo Peng
School of Automation,Guangdong University of Technology,Guangzhou 510006,China
国际会议
长沙
英文
1995-2002
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）