Model reference control using CMAC neural networks

Alpaslan Duysak, Abdurrahman Unsal, Jeffrey L. Schiano

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

1 Scopus citations


This paper demonstrates the use of CMAC neural networks in real world applications for the system identification and control of nonlinear systems. As a testbed application, the problem of regulating fluid height in a column is considered. A dynamic nonlinear model of the process is obtained using fundamental physical laws and by training a CMAC neural network using experimental input-output data. The CMAC model is used to implement a model reference control system. Successful experimental results are obtained in the presence of disturbances.

Original languageEnglish (US)
Title of host publicationArtificial Neural Networks - ICANN 2007 - 17th International Conference, Proceedings
PublisherSpringer Verlag
Number of pages10
EditionPART 2
ISBN (Print)9783540746935
StatePublished - 2007
Event17th International Conference on Artificial Neural Networks, ICANN 2007 - Porto, Portugal
Duration: Sep 9 2007Sep 13 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4669 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other17th International Conference on Artificial Neural Networks, ICANN 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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