Wavelet Interval Type-2 Fuzzy Quad-Function-Link Brain Emotional Control Algorithm for the Synchronization of 3D Nonlinear Chaotic Systems

2020 ◽  
Vol 22 (8) ◽  
pp. 2546-2564
Author(s):  
Tuan-Tu Huynh ◽  
Chih-Min Lin ◽  
Tien-Loc Le ◽  
Ngoc Phi Nguyen ◽  
Sung-Kyung Hong ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Chaotic Systems ◽  
Emotional Control ◽  
Interval Type

Type-2 Fuzzy Sliding Mode Synchronization

2011 ◽  
pp. 314-336
Author(s):  
T. C. Lin ◽  
Ming-Che Chen ◽  
M. Roopaei
Keyword(s):  
Chaotic Systems ◽  
Sliding Mode ◽  
Training Data ◽  
Control Scheme ◽  
Fuzzy Neural ◽  
Fuzzy Sliding Mode ◽  
And Performance ◽  
The Stability ◽  
Interval Type

This chapter presents an adaptive interval type-2 fuzzy neural network (FNN) controller to synchronize chaotic systems with training data corrupted by noise or rule uncertainties involving external disturbances. Adaptive interval type-2 FNN control scheme and sliding mode approach are incorporated to deal with the synchronization of non-identical chaotic systems. In the meantime, based on the adaptive fuzzy sliding mode control, the Laypunov stability theorem has been used to testify the asymptotic stability of the chaotic systems. The chattering phenomena in the control efforts can be reduced and the stability analysis of the proposed control scheme will be guaranteed in the sense that all the states and signals are uniformly bounded and the external disturbance on the synchronization error can be attenuated. The simulation example is included to confirm validity and performance of the advocated design methodology.

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