Convergence Analysis of a General Nonlinear Predictive Adaptive Controllers

Author

Mrabet, M. ; Fnaiech, F. ; Al-Haddad, K.

Author_Institution

Ecole Superieure des Sci. et Tech. de Tunis

Volume

1

fYear

2006

fDate

9-13 July 2006

Firstpage

405

Lastpage

410

Abstract

In spite of the big performances of the predictive control based on the exact linearization of the generalized nonlinear systems presented in W.H. Chen (2004), this control strategy shows some drawbacks if the parameters of the system are unknown or time-varying, flowingly, we have implemented in M. Mrabet et al. (2005) a new control algorithm based on the online estimation of the parameters of the system. In this paper, we study the convergence of this new algorithm in term of tracking. The convergence proof is elaborated using Lyapunov stability theory

Keywords

Lyapunov methods; adaptive control; linearisation techniques; nonlinear control systems; parameter estimation; predictive control; stability; time-varying systems; Lyapunov stability theory; general nonlinear predictive adaptive controllers; generalized nonlinear systems; parameter online estimation; time-varying system; Adaptive control; Control systems; Convergence; Linear feedback control systems; Nonlinear control systems; Nonlinear systems; Optimal control; Prediction algorithms; Predictive control; Programmable control; Feedback systems; Nonlinear systems; Predictive control; adaptive control; model reference adaptive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295628

Filename

4077959