Title :
Adaptive Control of a Class of Uncertain Nonlinear Systems Based on a Max-Min Method
Author :
Pengnian, Chen ; Huashu, Qin
Author_Institution :
China Inst. of Metrol., Hangzhou
Abstract :
This paper deals with the problem of model reference adaptive tracking of a class of nonlinear systems with an uncertain parameter. The nonlinear term of the system is assumed to be either convex or concave with respect to the uncertain parameter. Based on a max-min method, an adaptive control law for the system is proposed. The adaptive control law is continuous. Boundedness of all signals of the closed loop system and the asymptotic exact tracking are guaranteed. An example is proposed to illustrate utility of the results in this paper.
Keywords :
closed loop systems; minimax techniques; model reference adaptive control systems; nonlinear control systems; tracking; uncertain systems; adaptive control; asymptotic exact tracking; closed loop system; max-min method; model reference adaptive tracking; nonlinear term; uncertain nonlinear systems; uncertain parameter; Adaptive control; Closed loop systems; Electronic mail; Mathematical model; Mathematics; Metrology; Nonlinear control systems; Nonlinear systems; Tracking loops; Uncertain systems; Adaptive control; Nonlinear system; Uncertain system;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347296
