Title :
Exponential fast terminal sliding mode control
Author :
He, Naibao ; Gao, Qian ; Liu, Yongqiang ; Gong, Chenglong ; Jiang, Changsheng
Author_Institution :
Huaihai Inst. of Techology, Lianyungang, China
Abstract :
Improving fuzzy neural network (FNN) systems approximate unknown nonlinear continuous functions is proposed. The concept of exponential fast terminal sliding mode is introduced into the learning algorithm. The Lyapunov stability analysis guarantees that the approximation is stable and converges to the unknown function with improved speed.
Keywords :
Lyapunov methods; fuzzy neural nets; learning (artificial intelligence); nonlinear control systems; stability; variable structure systems; FNN; Lyapunov stability analysis; exponential fast terminal sliding mode control; fuzzy neural network system; learning algorithm; nonlinear continuous function; Control systems; Educational institutions; Electronic mail; Fuzzy control; Fuzzy neural networks; Helium; Lyapunov method; Nonlinear control systems; Nonlinear systems; Sliding mode control; adaptive control; nonlinear systems; slide control;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498903
