Adaptive output regulation of nonlinear systems described by multiple linear models

Mai Bando, Akira Ichikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper the output regulation problem for nonlinear systems described by multiple linear models with unknown parameters is considered. Based on the Lyapunov stability theory, an adaptive controller which stabilize the system is derived. Then sufficient conditions for the output regulation problem with full information to be solvable are established. Simulation results are given to illustrate the theory.

Original languageEnglish
Title of host publication9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts
PublisherIFAC Secretariat
Pages269-274
Number of pages6
EditionPART 1
ISBN (Print)9783902661296
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume9
ISSN (Print)1474-6670

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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  • Cite this

    Bando, M., & Ichikawa, A. (2007). Adaptive output regulation of nonlinear systems described by multiple linear models. In 9th IFAC Workshop "Adaptation and Learning in Control and Signal Processing", ALCOSP'2007 - Final Program and Abstracts (PART 1 ed., pp. 269-274). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 9, No. PART 1). IFAC Secretariat. https://doi.org/10.3182/20070829-3-ru-4911.00044