Title :
Decentralized adaptive tracking of stochastic nonlinear interconnected systems by state feedback
Author_Institution :
Dept. Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper studies the tracking problem for a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, a decentralized state-feedback controller and parameter adaptive law are developed. The output of the closed-loop system is proven to follow the desired trajectory asymptotically in probability.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; control nonlinearities; control system synthesis; decentralised control; interconnected systems; nonlinear control systems; position control; probability; state feedback; stochastic systems; tracking; asymptotic trajectory probability; backstepping design technique; closed-loop system; decentralized adaptive tracking; state feedback; stochastic Lyapunov-like theorem; stochastic nonlinear interconnected system; unknown parameter adaptive law; Adaptive control; Control systems; Differential equations; Interconnected systems; Nonlinear control systems; Nonlinear systems; Programmable control; State feedback; Stochastic processes; Stochastic systems; Adaptive Control; Decentralized Control; Interconnected Systems; Stochastic Nonlinear Systems;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5194904
