Advances in Intelligent Control


Harris, C.J. (ed.) (1994) Advances in Intelligent Control, Taylor and Francis

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Advances in Intelligent Control is a collection of essays 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 fule base. Written by an internationally respected team of experts, contents include: Neural networks for modelling and control. Learning control with interpolative memories. Neural network model-based predictive control. Hierarchical fuzzy control. Indirect adaptive fuzzy logic control. Adaptive expert systems. Bibliography. C.J. Harris is Lucas Professor of Aerospace Systems Engineering at the University of Southampton, Southampton, UK. Index: 1. Editor's Introduction - C.J. Harris Part I - Neural Networks in Intelligent Control 2. Neural Networks for Modelling and Control: A Review - M. Brown and C.J. Harris 3. Neural Net Computing and Intelligent Control of Systems - Y.H. Pao et al. 4. Neural Networks for Nonlinear Dynamic System Modelling and Identification - S. Chen and S.A. Billings 5. Learning Control with Interpolative Memories - H. Tolle et al. 6. ASMOD: An algorithm for Adaptive Spline Modelling of Observation Data - T. Kavli 7. Adaptive Control of Nonlinear Systems - F.C. Chen and H.K. Khalil 8. Neural Network Model Based Predictive Control - J. Saint-Donat et al. Part II - Fuzzy Logic Control 9. Aspects of Fuzzy Control and Estimation: A Review - C.G. Moore and C.J. Harris 10. Hierarchical Fuzzy Control - G. Raju 11. Unified Real Time Approximate Reasoning - D. Linkens and J. Nie 12. Indirect Adaptive Fuzzy Logic Control - C.G. Moore and C.J. Harris 13. Adaptive Expert Systems - C. Batur and V. Kasparian 14. Neural Network Based Approximate Reasoning: Principles and Implementation - J. Nie and D. Linkens 15. Self-Organizing Control using Fuzzy Neural Networks - T. Yamaguchi et al. Bibliography Further information can be obtained from: Taylor & Francis Ltd Rankine Road Basingstoke Hampshire RG24 8PR UK or Taylor and Francis Inc. 1900 Frost Road Suite 101 Bristol PA 19007-1598 USA Contents

Item Type: Book
Additional Information: Address: London, UK
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250226
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250226

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