Synopsis
Examines past and present trends and future possibilities in large-scale systems, focusing on computer-assisted problem-solving. Addresses modeling and model reduction, optimum and near-optimum control, system properties, and the role of fuzzy systems in the model identification and control of large-scale systems. Concepts are presented with their proofs, followed by an algorithm showing how to use the results, plus chapter problems. Appendices review fuzzy set theory and describe a fuzzy logic development kit, FULDEK. Annotation c. by Book News, Inc., Portland, Or.
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About the Author
Mohammad Jamshidi is the AT&T Professor and Director of the NASA Center for Autonomous Control Engineering at the University of New Mexico at Albuquerque. He is also the Associate Research Director at Laboratoire d'Architecture et D'Analyse des Systems of the Centre National Recherche Scientifique in Toulouse, France.
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Large-Scale Systems with Fuzzy Neural Networks
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Pearson Education, Limited, 1996
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