Advances In Intelligent Control
1st Edition
Published on 11. March 1994
Book
Hardback
373 pages
978-0-7484-0066-9 (ISBN)
Description
"Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns itself primarily with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationships to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Weight
889 gr
ISBN-13
978-0-7484-0066-9 (9780748400669)
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Schweitzer Classification
Content
Part One: Neural Networks in Intelligent Control 1. Neural Networks for Modeling and Control - A Review 2. Neural Net Computing and Intelligent Control of Systems 3. Neural Networks for Non-linear Dynamic System Modeling and Identification 4. Learning Control with Interpolating Memories 5. ASMOD - an Algorithm for Adaptive Spline Modeling of Observational Data 6. Adaptive Control on Nonlinear Systems 7. Neural Network Based Predictive Control. Part Two: Fuzzy Logic Control 8. Aspects of Fuzzy Logic Control and Estimation - A Review 9. Hierarchical Fuzzy Control 10. Unified Real Time Approximate Reasoning 11. Indirect Adaptive Fuzzy Logic Control 12. Adaptive Expert Systems 13. Neural Network Based Approximate Reasoning: Principles and Interpretation 14. Self-organizing Control Using Fuzzy Neural Networks