Advances in Intelligent Control

Advances in Intelligent Control

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This is a collection of essays covering the latest research in the field. Based on a special issue of International Journal of Control, it is arranged into two parts. Part one contains recent contributions of artificial neural networks to modeling and control. Part two is primarily concerned with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationship to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base. Harris; C J University of Southampton,
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Product details

  • Hardback | 373 pages
  • 168.7 x 259.1 x 25.1mm | 889.06g
  • Taylor & Francis Ltd
  • London, United Kingdom
  • English
  • 0748400664
  • 9780748400669

Table of contents

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
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