Title :
A novel periodicity-based adaptive control discrete-time nonlinear systems
Author :
Ronghu Chi ; Jizhi Han
Author_Institution :
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
In real applications, there exist a class of systems in which the nonlinear uncertainties can be parameterized with some periodic parameters. For such nonlinear periodic plants, a new periodicity-based discrete-time adaptive control is proposed in this paper. The proposed approach updates the unknown parameters periodically with a project algorithm. Rigorous analysis guarantees the error convergence of the designed method. Some simulative results further demonstrate the feasibility of the developed approach.
Keywords :
adaptive control; discrete time systems; nonlinear control systems; periodic control; time-varying systems; uncertain systems; error convergence; nonlinear uncertainties parameterization; periodicity-based adaptive control discrete-time nonlinear system; Decision support systems; Zirconium; Adaptive Control; Discrete-time nonlinear systems; Periodic project estimator;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161729