Fuzzy Robust H ∞ Sampled-Data Control for Uncertain Nonlinear Systems with Time-Varying Delay

2016 ◽  
Vol 19 (5) ◽  
pp. 1417-1429 ◽  
Author(s):  
Zhenbin Du ◽  
Zhenkun Qin ◽  
Hongjin Ren ◽  
Zhuye Lu
Keyword(s):  
Nonlinear Systems ◽  
Time Varying ◽  
Uncertain Nonlinear Systems ◽  
Sampled Data ◽  
Time Varying Delay ◽  
Data Control ◽  
Sampled Data Control ◽  
Varying Delay

Dissipative sampled-data control of uncertain nonlinear systems with time-varying delays

Complexity ◽  
2015 ◽  
Vol 21 (6) ◽  
pp. 142-154 ◽  
Author(s):  
P. Selvaraj ◽  
R. Sakthivel ◽  
S. Marshal Anthoni ◽  
M. Rathika ◽  
Mo Yong-Cheol
Keyword(s):  
Nonlinear Systems ◽  
Time Varying ◽  
Uncertain Nonlinear Systems ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control

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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