Dissipativity-based resilient reliable sampled-data asynchronous control for interval-valued fuzzy systems with semi-Markovian hybrid fault coefficients

2022 ◽  
Author(s):  
Xiaoqing Li ◽  
Kun She ◽  
Jun Cheng ◽  
Kaibo Shi ◽  
Shouming Zhong
Keyword(s):  
Fuzzy Systems ◽  
Sampled Data ◽  
Asynchronous Control ◽  
Interval Valued

Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

2016 ◽  
Vol 24 (5) ◽  
pp. 1048-1057 ◽  
Author(s):  
Shiping Wen ◽  
Tingwen Huang ◽  
Xinghuo Yu ◽  
Michael Z. Q. Chen ◽  
Zhigang Zeng
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Communication Delays ◽  
Sampled Data ◽  
Mode Control ◽  
Event Triggered

Sampled-data based asynchronous stabilization for switched systems with stochastic perturbations

2019 ◽  
Vol 42 (3) ◽  
pp. 439-450 ◽  
Author(s):  
Jianrong Zhao ◽  
Wen Wang ◽  
Dan Zhang
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Controller ◽  
Fuzzy Model ◽  
Average Dwell Time ◽  
Sampling Interval ◽  
Switched Nonlinear Systems ◽  
Sampled Data ◽  
Stochastic Perturbations ◽  
Asynchronous Control ◽  
Mass Spring

This paper studies the sampled-data based asynchronous control problem for switched nonlinear systems subject to stochastic perturbations. Applying the T-S fuzzy model, the sampled-data based asynchronous stabilization is studied for switched nonlinear systems subject to stochastic perturbations. Combining the sampled-data dependent Lyapunov functional with the mode-dependent average dwell-time technique, a fuzzy controller is obtained to stabilize switched nonlinear systems in the mean-square sense. No more than one switching and multiple switchings are both discussed in one sampling interval to achieve more common results. At last, a simulation example about nonlinear mass-spring mechanical systems subject to stochastic perturbations is given to illustrate the effectiveness of proposed results.

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