A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay

2020 ◽  
Vol 31 (3) ◽  
pp. 891-900 ◽  
Author(s):  
Xin Wang ◽  
Ju H. Park ◽  
Shouming Zhong ◽  
Huilan Yang
Keyword(s):  
Neural Networks ◽  
Time Varying ◽  
Sampled Data ◽  
Memristive Neural Networks ◽  
Time Varying Delay ◽  
Data Control ◽  
Sampled Data Control ◽  
Varying Delay

Dissipative based adaptive reliable sampled-data control of time-varying delay systems

2016 ◽  
Vol 14 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Srimanta Santra ◽  
Hamid Reza Karimi ◽  
Rathinasamy Sakthivel ◽  
S. Marshal Anthoni
Keyword(s):  
Delay Systems ◽  
Time Varying ◽  
Sampled Data ◽  
Time Varying Delay ◽  
Data Control ◽  
Sampled Data Control ◽  
Varying Delay

scholarly journals Fuzzy H2 Guaranteed Cost Sampled-Data Control of Nonlinear Time-Varying Delay Systems

2016 ◽  
Vol 11 (5) ◽  
pp. 708
Author(s):  
Zifang Qu ◽  
Zhenbin Du
Keyword(s):  
Closed Loop ◽  
Delay Systems ◽  
Linear Matrix ◽  
Time Varying ◽  
Sampled Data ◽  
Time Varying Delay ◽  
Data Control ◽  
Guaranteed Cost ◽  
Sampled Data Control ◽  
Varying Delay

We present and study a delay-dependent fuzzy H2 guaranteed cost sampled-data control problem for nonlinear time-varying delay systems, which is formed by fuzzy Takagi-Sugeno (T-S) system and a sampled-data fuzzy controller connected in a closed loop. Applying the input delay approach and stability theorem of Lyapunov-Krasovskii functional with Leibniz-Newton formula, the H2 guaranteed cost control performance is achieved in the sense that the closed-loop system is asymptotically stable. A new sufficient condition for the existence of fuzzy sampled-data controller is given in terms of linear matrix inequalities (LMIs). Truck-trailer system is given to illustrate the effectiveness and feasibility of H2 guaranteed cost sampled-data control design.

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