Subspace-based identification for linear and nonlinear systems

Harish J. Palanthandalam-Madapusi, Seth Lacy, Jesse B. Hoagg, Dennis S. Bernstein

Research output: Contribution to journalConference articlepeer-review

51 Scopus citations

Abstract

The subspace-based identification for linear and nonlinear systems was analyzed. Some identification algorithms for linear time-varying systems were presented. The bulk of the existing subspace-based nonlinear identification algorithms including including Hammerstein and nonlinear feedback identification, Hammerstein-Wiener identification, identification for Wiener systems was also discussed. An overview of identification of closed-loop systems was also presented. The Hammerstein-Wiener model of space weather system was shown.

Original languageEnglish
Article numberThB02.2
Pages (from-to)2320-2334
Number of pages15
JournalProceedings of the American Control Conference
Volume4
StatePublished - 2005
Event2005 American Control Conference, ACC - Portland, OR, United States
Duration: Jun 8 2005Jun 10 2005

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Subspace-based identification for linear and nonlinear systems'. Together they form a unique fingerprint.

Cite this