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
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