Intelligent Backstepping Control for Chaotic Systems Using Self-Growing Fuzzy Neural Network

2006 ◽  
pp. 299-308
Author(s):  
Chih-Min Lin ◽  
Chun-Fei Hsu ◽  
I-Fang Chung
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Chaotic Systems ◽  
Backstepping Control ◽  
Fuzzy Neural

Design of fuzzy system-fuzzy neural network-backstepping control for complex robot system

2021 ◽  
Vol 546 ◽  
pp. 1230-1255
Author(s):  
Kunming Zheng ◽  
Qiuju Zhang ◽  
Youmin Hu ◽  
Bo Wu
Keyword(s):  
Neural Network ◽  
Fuzzy System ◽  
Fuzzy Neural Network ◽  
Backstepping Control ◽  
Robot System ◽  
Fuzzy Neural

scholarly journals Command Filtered Adaptive Fuzzy Neural Network Backstepping Control for Marine Power System

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xin Zhang ◽  
Longhua Mu
Keyword(s):  
Neural Network ◽  
Power System ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Chaotic Oscillation ◽  
Lyapunov Stability Theory ◽  
Backstepping Control ◽  
Adaptive Fuzzy Neural Network ◽  
Adaptive Fuzzy ◽  
Fuzzy Neural

In order to retrain chaotic oscillation of marine power system which is excited by periodic electromagnetism perturbation, a novel command-filtered adaptive fuzzy neural network backstepping control method is designed. First, the mathematical model of marine power system is established based on the two parallel nonlinear model. Then, main results of command-filtered adaptive fuzzy neural network backstepping control law are given. And the Lyapunov stability theory is applied to prove that the system can remain closed-loop asymptotically stable with this controller. Finally, simulation results indicate that the designed controller can suppress chaotic oscillation with fast convergence speed that makes the system return to the equilibrium point quickly; meanwhile, the parameter which induces chaotic oscillation can also be discriminated.

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