Adaptive predictive control based on wavelet approximation models

Author

Zhihuan, Song ; Ping, Li ; Youxian, Sun

Author_Institution

Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China

Volume

2

fYear

1996

fDate

14-17 Oct 1996

Firstpage

820

Abstract

Discusses approximate modelling and adaptive control of discrete time linear time-varying systems (LTVS). A novel model, the representation of LTVS in the wavelet time-frequency space, is established based on discrete wavelet transforms. The joint time-frequency properties of wavelet analysis are appropriate for describing the nonstationary characteristic of LTVS. In this model parameter estimation is fulfilled by means of some algebraic calculations. Finally, an adaptive predictive control scheme is proposed based on this representation. Simulation results demonstrate its good behaviour

Keywords

adaptive control; discrete time systems; linear systems; parameter estimation; predictive control; time-varying systems; wavelet transforms; adaptive predictive control; discrete time linear time-varying systems; discrete wavelet transforms; nonstationary characteristic; parameter estimation; wavelet analysis; wavelet approximation models; wavelet time-frequency space; Adaptive control; Adaptive signal processing; Discrete wavelet transforms; Frequency domain analysis; Predictive control; Predictive models; Programmable control; Signal analysis; Time frequency analysis; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1996., IEEE International Conference on

Conference_Location

Beijing

ISSN

1062-922X

Print_ISBN

0-7803-3280-6

Type

conf

DOI

10.1109/ICSMC.1996.571132

Filename

571132