scholarly journals Robust ℋ∞Sampled-Data Control for Takagi-Sugeno Fuzzy Model with Singular Perturbation

2016 ◽  
Vol 65 (9) ◽  
pp. 1524-1530
Author(s):  
Hyoung Bin Kang ◽  
Ji Hyun Moon ◽  
Ho Jae Lee
Keyword(s):  
Singular Perturbation ◽  
Fuzzy Model ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Takagi Sugeno

scholarly journals Aperiodic Sampled-Data Control for Chaotic System Based on Takagi–Sugeno Fuzzy Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Minjie Zheng ◽  
Shenhua Yang ◽  
Lina Li
Keyword(s):  
Chaotic System ◽  
Fuzzy Model ◽  
Sampling Period ◽  
Linear Matrix ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Mean Square Exponential Stability ◽  
Data Controller ◽  
Takagi Sugeno

This paper investigates the aperiodic sampled-data control for a chaotic system. Firstly, Takagi–Sugeno (T-S) fuzzy models for the chaotic systems are established. The lower and upper bounds of the sampling period are taken into consideration. Then, the criteria for mean square exponential stability analysis and aperiodic sampled-data controller synthesis are provided by means of linear matrix inequalities. And the real sampling patterns can be fully captured by constructing suitable Lyapunov functions. Finally, an illustrative example shows that the proposed method is effective to guarantee that the system’s states are stable with aperiodic sampled data.

scholarly journals Sampled data Control for Takagi-Sugeno Fuzzy Systems with Actuator Saturation

2019 ◽  
Vol 148 ◽  
pp. 448-454 ◽  
Author(s):  
Ouarda Lamrabet ◽  
Ahmed Ech-charqy ◽  
El Houssaine Tissir ◽  
Fatima EL Haoussi
Keyword(s):  
Fuzzy Systems ◽  
Actuator Saturation ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Takagi Sugeno

Sampled-data control for nonlinear singular systems based on a Takagi–Sugeno fuzzy model

2018 ◽  
Vol 40 (14) ◽  
pp. 4027-4036 ◽  
Author(s):  
Zheng Minjie ◽  
Zhou Yujie ◽  
Yang Shenhua ◽  
Li Lina
Keyword(s):  
Singular Systems ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Sampled Data ◽  
Nonlinear Singular Systems ◽  
Stability Theorems ◽  
Data Control ◽  
Admissible Condition ◽  
Data Controller ◽  
Takagi Sugeno

The sampled-data admissibility problem for nonlinear singular systems in Takagi–Sugeno fuzzy models is discussed. By adding some novel terms, a novel fuzzy time-dependent Lyapunov–Krasovskii functional is proposed to fully capture the available characteristics of the actual sampling pattern. Sufficient conditions are derived to determine the regularity, absence of impulses and asymptotic stability of the system by using Lyapunov stability theorems. Then, the fuzzy sampled-data controller is obtained by analysing the admissible condition. One practical example involving a truck–trailer system is considered. It is shown that the proposed method and the designed controller for the system are effective and that less conservativeness can be obtained.

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