DocumentCode :
1752565
Title :
Adaptive Stabilization in Probability of Nonholonomic Systems
Author :
Wang, Jiang ; Gao, Huijun ; Li, Huiyan
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1080
Lastpage :
1084
Abstract :
This paper deals with nonholonomic systems in chained form with unknown covariance stochastic disturbances. The objective is to design the almost global adaptive asymptotical controllers in probability U0 and U1 by using discontinuous control. A switching control law U0 is designed to almost globally asymptotically stabilize the state X0 at both the singular X 0 (t0) = 0 case and the non-singular X0(t0) ne0 case. Then the state scaling technique is introduced for the discontinuous feedback when dealing with the (x1,X2,...,Xn)-subsystem. Based on this, by using backstepping technique the almost global adaptive asymptotical control law U1 has been presented for (x1 ,X2,...,Xn)-subsystem for both different U 0 under non-singular case and the singular case
Keywords :
adaptive control; asymptotic stability; probability; sampled data systems; state feedback; switching; adaptive stabilization; backstepping technique; discontinuous control; discontinuous state feedback; global adaptive asymptotical control law; nonholonomic systems; state scaling technique; switching control law; unknown covariance stochastic disturbances; Adaptive control; Automation; Backstepping; Control systems; Engineering management; Programmable control; State feedback; Stochastic processes; Stochastic systems; Uncertainty; Nonholonomic systems; almost global adaptive asymptotical control; discontinuous state feedback; switching control; unknown covariance stochastic disturbances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712512
Filename :
1712512
Link To Document :
بازگشت