Discrete-time nonlinear systems modeling

Author

DeGroat, R. ; Hunt, L. ; Linebarger, D.

Author_Institution

Center for Eng. Math., Texas Univ., Dallas, Richardson, TX, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2587

Abstract

Systems theory and some canonical representations are introduced for a class of nonlinear systems. Techniques are devised to identify, synthesize, and model such systems and their signals. Nonlinear systems theory is introduced at a fundamental level. To identify a system from input and output (or just output) data, parameters are estimated for a canonical state-space or difference-equation representation, depending on which representation is most convenient for further analysis

Keywords

difference equations; discrete time systems; modelling; nonlinear systems; parameter estimation; signal processing; state-space methods; canonical representations; canonical state-space; difference-equation representation; discrete-time systems; modeling; nonlinear systems; parameter estimation; signal processing; systems theory; Feedback loop; Feedforward systems; Kernel; Linear systems; Mathematical model; Mathematics; Nonlinear systems; Parameter estimation; Signal analysis; Signal processing; Signal synthesis; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116140

Filename

116140

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2953638