Function vector synchronization based on fuzzy control for uncertain chaotic systems with dead-zone nonlinearities

Complexity ◽  
2015 ◽  
Vol 21 (S1) ◽  
pp. 234-249 ◽  
Author(s):  
Sarah Hamel ◽  
Abdesselem Boulkroune ◽  
Amel Bouzeriba
Keyword(s):  
Fuzzy Control ◽  
Chaotic Systems ◽  
Dead Zone ◽  
Uncertain Chaotic Systems ◽  
Function Vector

Function Vector Synchronization of Uncertain Chaotic Systems with Parameters Variable

2012 ◽  
Vol 11 (11) ◽  
pp. 1619-1625
Author(s):  
Ning Li ◽  
Heng Liu ◽  
Wei Xiang ◽  
Hui Lv
Keyword(s):  
Chaotic Systems ◽  
Uncertain Chaotic Systems ◽  
Function Vector

scholarly journals T-S Fuzzy Control of Uncertain Chaotic Vibration

2012 ◽  
Vol 19 (3) ◽  
pp. 379-389 ◽  
Author(s):  
Abdelkrim Boukabou ◽  
Noura Mansouri
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Chaos Control ◽  
Chaotic Systems ◽  
Fuzzy Model ◽  
Control Approach ◽  
Chaotic Vibration ◽  
Uncertain Chaotic Systems ◽  
Simulation Results ◽  
Takagi Sugeno

We present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rules and then present a unified T-S predictive fuzzy model for chaos control. The proposed controller can successfully stabilize the chaos and track the desired targets. The simulation results illustrate its effectiveness.

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