System Identification Via a Virtual Higher-Resolution Fuzzy Model-Reference-Cited by-同舟云学术

System Identification Via a Virtual Higher-Resolution Fuzzy Model

Published:2000-01 Issue:4 Volume:6 Page:243-259
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:Intelligent Automation & Soft Computing

Author:

Chow K. M.,Rad A. B.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference12 articles.

1. Wang, L.X.A course in Fuzzy Systems and Control, Prentice Hall International Inc., 1997.

2. Garcia, A.C., Mandow, A., and Lopez-Baldan, M.J. “Fuzzy Modeling Operation Navigation Behaviors”,Proceeding of the Sixth IEEE International Conference on Fuzzy Systems, Barcelona, Spain, July 1–5, 1997, pp. 1339–1345.

3. Guely, F. and Siarry, P. “Gradient Descent Method for Optimizing Various Fuzzy Rule Bases”,Proceeding of the Second IEEE International Conference on Fuzzy Systems, 1993, pp. 1241–1246.

4. Wang, L.X., and Mendel, J. “Back-Propagation Fuzzy System as Non-linear Dynamic System Identifiers”,IEEE International Conference on Fuzzy Systems, 1992, pp. 1409–1412.

5. Jang, J.S.R., Sun, C.T. and Mizutani, E.Neuro fuzzy and Soft Computing, Prentice Hall, Inc., 1997.

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