scholarly journals A New Design of Membership-Function-Dependent Controller for T-S Fuzzy Systems Under Imperfect Premise Matching

2019 ◽  
Vol 27 (7) ◽  
pp. 1428-1440 ◽  
Author(s):  
Changzhu Zhang ◽  
Hak-Keung Lam ◽  
Jianbin Qiu ◽  
Chengju Liu ◽  
Qijun Chen
Keyword(s):  
Membership Function ◽  
Fuzzy Systems ◽  
Imperfect Premise Matching

scholarly journals Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching

2014 ◽  
Vol 61 (2) ◽  
pp. 956-968 ◽  
Author(s):  
H. K. Lam ◽  
Hongyi Li ◽  
Christian Deters ◽  
E. L. Secco ◽  
Helge A. Wurdemann ◽  
...  
Keyword(s):  
Fuzzy Systems ◽  
Control Design ◽  
Interval Type ◽  
Imperfect Premise Matching

scholarly journals Dynamic Event-Triggered Predictive Control for Interval Type-2 Fuzzy Systems with Imperfect Premise Matching

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1452
Author(s):  
Jingfeng Zhou ◽  
Jianming Cao ◽  
Jing Chen ◽  
Aihua Hu ◽  
Jingxiang Zhang ◽  
...  
Keyword(s):  
Communication Networks ◽  
Predictive Control ◽  
Fuzzy Systems ◽  
Sufficient Conditions ◽  
Dynamic Event ◽  
Systems Model ◽  
Interval Type ◽  
Imperfect Premise Matching ◽  
Event Triggered

This paper investigates the dynamic event-triggered predictive control problem of interval type-2 (IT2) fuzzy systems with imperfect premise matching. First, an IT2 fuzzy systems model is proposed, including a dynamic event-triggered mechanism, which can save limited network resources by reducing the number of data packets transmitted, and a predictive controller, which can predict the state of the system between the two successful transmitted instants to deal with unreliable communication networks. Then, according to the Lyapunov stability theory and imperfect premise matching method, sufficient conditions for system stabilization and the controller gain are obtained. Finally, the validity of the proposed method is demonstrated by the numerical examples.

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