DocumentCode
1551056
Title
Prediction-based discrete-time adaptive nonlinear stochastic control
Author
Wei, Chen ; Guo, Lei
Author_Institution
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Volume
44
Issue
9
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
1725
Lastpage
1729
Abstract
Adaptive control of a class of discrete-time parametric-strict-feedback nonlinear systems with additive white noises is considered in this paper. The control law is designed based on weighted least squares (WLS) algorithms and on recursive adaptive predictors. Global stability and tracking error bounds are established for the closed-loop systems
Keywords
adaptive control; discrete time systems; feedback; least squares approximations; nonlinear control systems; predictive control; stability; stochastic systems; white noise; WLS algorithms; additive white noises; closed-loop systems; control design; discrete-time parametric-strict-feedback nonlinear systems; global stability; prediction-based discrete-time adaptive nonlinear stochastic control; recursive adaptive predictors; tracking error bounds; weighted least squares algorithms; Adaptive control; Automatic control; Computer aided manufacturing; Control systems; Manufacturing systems; Production systems; Programmable control; Stability; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.788540
Filename
788540
Link To Document