DocumentCode :
3563765
Title :
Approximation-based adaptive tracking control of stochastic nonlinear systems with a general form
Author :
Huanqing Wang ; Hongyan Yang ; Yan Shi ; Karimi, Hamid Reza
Author_Institution :
Sch. of Math. & Phys., Bohai Univ., Jinzhou, China
fYear :
2014
Firstpage :
163
Lastpage :
168
Abstract :
In this paper, an approximation-based adaptive tracking control scheme is proposed for a class of stochastic nonlinear systems with a more general structure. Fuzzy logical systems are used to approximate unknown nonlinearities in the controller design procedure and the backstepping technique is utilized to construct a state-feedback adaptive controller. The proposed controller can guarantee that all the signals in the closed-loop system are fourth-moment semi-globally uniformly ultimately bounded and the tracking error eventually converges to a small neighborhood around the origin. Simulation results are used to show the effectiveness of the proposed control scheme.
Keywords :
adaptive control; closed loop systems; control nonlinearities; control system synthesis; fuzzy logic; nonlinear control systems; state feedback; stochastic systems; approximation-based adaptive tracking control; backstepping technique; closed-loop system; controller design procedure; fourth-moment semiglobally uniformly ultimately bounded signal; fuzzy logical systems; state-feedback adaptive controller; stochastic nonlinear systems; tracking error; Adaptive systems; Approximation methods; Backstepping; Educational institutions; Fuzzy logic; Nonlinear systems; Stochastic processes; Adaptive fuzzy control; Backstepping; stochastic nonlinear system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type :
conf
DOI :
10.1109/SCIS-ISIS.2014.7044734
Filename :
7044734
Link To Document :
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