An interactive term approach to non-parametric FIR nonlinear system identification

Er-Wei Bai; Manfred Deistler

doi:10.1109/CDC.2007.4434034

Back

Conference proceeding

An interactive term approach to non-parametric FIR nonlinear system identification

Er-Wei Bai and Manfred Deistler

2007 46th IEEE Conference on Decision and Control, pp.5086-5091

12/2007

DOI: 10.1109/CDC.2007.4434034

View Online

Abstract

In this paper, a framework for selecting input sequences is presented for non-parametric nonlinear system identification so that interaction terms can be identified separably. In a sense, the approach decomposes a general difficult high dimensional nonlinear identification problem into a number of problems that are lower dimensionable. Corresponding identification algorithms are proposed and shown to be convergent.

Control Systems

Statistics

Books

Finite impulse response filter

Input variables

Noise measurement

Nonlinear control systems

Nonlinear systems

Random variables

USA Councils

Details

Title: Subtitle: An interactive term approach to non-parametric FIR nonlinear system identification
Creators: Er-Wei Bai - Iowa Univ., Iowa City
Manfred Deistler - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2007 46th IEEE Conference on Decision and Control, pp.5086-5091
DOI: 10.1109/CDC.2007.4434034
ISSN: 0191-2216
Publisher: IEEE
Language: English
Date published: 12/2007
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197531402771

Metrics

34 Record Views