skip to main content
10.1145/331119.331475acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article
Free Access

A reusable software adaptative fuzzy controller architecture

Authors Info & Claims
Published:18 February 1996Publication History
First page image

References

  1. 1.Ahmed, M. and Rine, D., (November, 1995). An alternative design for a reusable adaptive fuzzy logic controller using adaptation algorithms, published in the Proceedings of the Conference on Artificial Neural Networks in Engineering.Google ScholarGoogle Scholar
  2. 2.Berenji, H. R., (1993). A Reinforcement Learning- Based Architecture for Fuzzy Logic Control, Readings in Fuzzy Sets for Intelligent Systems, Morgan Kaufmann Publishers, Inc, 368-380.Google ScholarGoogle Scholar
  3. 3.Chen, J. and Rine, D., (November, 1995). A training framework to develop reusable software components by combining adaptation algorithms, published in the Proceedings of the Conference on Artificial Neural Networks in Engineering.Google ScholarGoogle Scholar
  4. 4.Fu, L., (1992). Connectionism for fuzzy learning in rule-based expert systems, Proceedings of the 5th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AI-92, 337-340. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.Harris, C. J., (1994). Advances in Intelligent Control, Taylor and Francis Ltd. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Isermann, T., (1992). Adaptive Control Systems, Prentice-Hall, Inc. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.Narendra, K. S., and Parthasarathy, K. (1990). Identification and control of dynamical systems using neural networks, iEEE Transactions on Neural Networks, Vol. 1, No. 1, 4-27.Google ScholarGoogle Scholar
  8. 8.Ogata, K., (1985). Modern Control Engineering, Prentice-Hall, Inc. 10th Edition. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.Sonnemann, R., (1995). Exploratory Study of Software Reuse Success Factors, Doctoral Dissertation, School of Information Technology and Engineering, George Mason University, Faifax,VA USA. Also, UMI Dissertation Services, 1- 800-521-0600, Ann Arbor, MI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.Wang, L., (1994). Adaptive Fuzzy Systems and Control, Prentice-Hall, Inc. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A reusable software adaptative fuzzy controller architecture

              Recommendations

              Comments

              Login options

              Check if you have access through your login credentials or your institution to get full access on this article.

              Sign in
              • Published in

                cover image ACM Conferences
                SAC '96: Proceedings of the 1996 ACM symposium on Applied Computing
                February 1996
                643 pages
                ISBN:0897918207
                DOI:10.1145/331119

                Copyright © 1996 ACM

                Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                Publisher

                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 18 February 1996

                Permissions

                Request permissions about this article.

                Request Permissions

                Check for updates

                Qualifiers

                • Article

                Acceptance Rates

                Overall Acceptance Rate1,650of6,669submissions,25%

              PDF Format

              View or Download as a PDF file.

              PDF

              eReader

              View online with eReader.

              eReader