Title :
Prediction-based discrete-time adaptive nonlinear stochastic control
Author :
Wei, Chen ; Guo, Lei
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
fDate :
9/1/1999 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
