Multi-input system identification and its applications using wavelet constructive method

Author

Yeung, L.F. ; Li, X.W.

Author_Institution

Dept. of Electron. Eng., Hong Kong Univ., Kowloon, Hong Kong

Volume

3

fYear

1996

fDate

11-13 Dec 1996

Firstpage

3230

Abstract

In this paper, algorithms for the identification of a nonlinear multi-input dynamical system are developed. These algorithms are then used for developing a decision supporting tool for local short term rain storm forecasting. A wavelet network structure is applied to track the dynamics of a nonlinear system and used for identifying a state space model of the system using radar images as input and the rain gauge measurement as output. When comparing with traditional artificial neural network approaches, we have shown that this wavelet approach offers significant improvement in terms of speed, reliability and accuracy

Keywords

function approximation; identification; nonlinear dynamical systems; state-space methods; wavelet transforms; weather forecasting; decision supporting tool; identification; multiple input system; nonlinear dynamical system; radar images; rain gauge measurement; rain storm forecasting; state space model; wavelet network; Nonlinear dynamical systems; Nonlinear systems; Radar imaging; Radar measurements; Radar tracking; Rain; Spaceborne radar; State-space methods; Storms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.573636

Filename

573636