Title :
A discrete-time periodic adaptive control for systems in the presence of nonsector nonlinearities
Author :
Chi Ronghu ; Zhang Yongbo ; Jin Shangtai ; Hou Zhongsheng
Author_Institution :
Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
A new periodic least-squares estimator with nonlinear data weighting is developed and used to design a periodic adaptive control for a simple discrete-time nonlinear system in the presence of time-varying parametric uncertainties. A global stability result is obtained through Lyapunov analysis without assuming any growth conditions on the nonlinearities. Simulation results further confirm the effectiveness of the presented methods.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; discrete time systems; nonlinear control systems; periodic control; stability; time-varying systems; uncertain systems; Lyapunov analysis; discrete-time nonlinear system; discrete-time periodic adaptive control; global stability; nonlinear data weighting; nonsector nonlinearities; periodic least-squares estimator; time-varying parametric uncertainties; Adaptive control; Convergence; Educational institutions; Nonlinear systems; Stability analysis; Time varying systems; Uncertainty; Nonlinear Data Weighting; Periodic Adaptive Control; Periodic Least-squares; Time-varying Nonlinear System;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
