DocumentCode :
1664160
Title :
Adaptive finite-time stabilization of a class of stochastic nonlinear systems
Author :
Suiyang Khoo ; Juliang Yin ; Zhihong Man
Author_Institution :
Sch. of Eng., Deakin Univ., Geelong, VIC, Australia
fYear :
2012
Firstpage :
1250
Lastpage :
1255
Abstract :
This paper studies the problem of almost surely adaptive finite-time stabilization for stochastic nonlinear systems. We prove that almost surely finite-time stabilization of stochastic nonlinear systems in triangular form can be reached by the continuous control law. The proof is based on the recently proposed almost surely finite-time stability theorem in [13]. A recursive design algorithm is developed for the construction of the adaptive controller. The adding an integrator technique is employed to construct the global almost surely finite-time stabilizer. Simulation example is given to illustrate the theoretical analysis.
Keywords :
adaptive control; control system synthesis; integration; nonlinear control systems; stability; stochastic systems; adaptive controller; almost surely adaptive finite-time stabilization problem; almost surely finite-time stability theorem; continuous control law; integrator technique; recursive design algorithm; stochastic nonlinear system; triangular form; Adaptive systems; Asymptotic stability; Educational institutions; Lyapunov methods; Nonlinear systems; Stability analysis; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485324
Filename :
6485324
Link To Document :
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