B-spline output feedback control for nonlinear systems

Yih Guang Leu*, Jian You Lin, Chun Yao Chen

*Corresponding author for this work

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

2 Citations (Scopus)


This paper proposes an adaptive B-spline output feedback controller for unknown nonlinear systems with only system output measurement. The controller integrates an error observer and B-spline neural networks into adaptive control design. The error observer is used to estimate the tracking errors through output measurement information, and the B-spline neural networks are utilized to online approximate an unknown control input by adjusting their internal parameters, including control points and knot parameters. In addition, simulation results demonstrate the feasibility of the proposed controller.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Number of pages7
EditionPART 2
Publication statusPublished - 2009
Event6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
Duration: 2009 May 262009 May 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5552 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th International Symposium on Neural Networks, ISNN 2009


  • Adaptive control
  • B-spline functions
  • Neural networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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