DocumentCode :
234358
Title :
Adaptive fuzzy tracking control for a class of nonaffine stochastic nonlinear systems
Author :
Wang Huanqing ; Liu Kefu ; Liu Xiaoping
Author_Institution :
Sch. of Math. & Phys., Bohai Univ., Jinzhou, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
2287
Lastpage :
2292
Abstract :
This paper considers the problem of the adaptive fuzzy tracking control for a class of nonaffine stochastic nonlinear system without lower triangular form. Based on fuzzy logic systems´ universal approximation property, an adaptive fuzzy controller is proposed, which guarantees that all the signals in the closed-loop system are bounded in the sense of mean quartic value and the output tracking error eventually converges to a small neighborhood around the origin. Simulation results are provided to illustrate the effectiveness of the proposed scheme.
Keywords :
adaptive control; closed loop systems; fuzzy control; fuzzy logic; nonlinear control systems; stochastic systems; adaptive fuzzy tracking control; closed-loop system; fuzzy logic system universal approximation property; nonaffine stochastic nonlinear systems; Adaptive systems; Approximation methods; Backstepping; Educational institutions; Fuzzy logic; Nonlinear systems; Vectors; Adaptive fuzzy control; Backstepping; Stochastic nonaffine nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896989
Filename :
6896989
Link To Document :
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