Intelligent control systems using computational intelligence techniques

by Ruano, A. E., (António E.)

Type Book
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"Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. This book details the application of these tools to the field of control systems. Each chapter gives an overview of current approaches in the topic covered, …

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Title Statements

  • Full title :Intelligent control systems using computational intelligence techniques / [edited by] A.E. Ruano.

Summary

"Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. This book details the application of these tools to the field of control systems. Each chapter gives an overview of current approaches in the topic covered, with a set of the most important set references in the field, and then details the author_s approach, examining both the theory and practical applications"--Résumé de l'éditeur.

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Edition Statements

  • Publication Date:©2005.

Publication Statements

Notes

Titre de l'écran titre (visionné le 14 décembre 2007).

The Physical Object

  • Description:1 ressource en ligne

Edition Identifiers

  • oclc:ocn300185424
  • LC Classification:TJ217.5
  • Dewey Decimal:629.89

Table of Contents

An overview of nonlinear identification and control with fuzzy systems / Robert Babuška -- An overview of nonlinear identification and control with neural networks / A.E. Ruano, P.M. Ferreira and C.M. Fonseca -- Multi-objective evolutionary computing solutions for control and system identification / Ian Griffin and Peter John Fleming -- Adaptive local linear modelling and control of nonlinear dynamical systems / Deniz Erdogmus [et autres] -- Nonlinear system identification with local linear neuro-fuzzy models / Alexander Fink [et autres] -- Gaussian process approaches to nonlinear modelling for control / Gregor Gregorčič and Gordon Lightbody -- Neuro-fuzzy model construction, design and estimation / X. Hong and C.J. Harris -- A neural netowork approach for nearly optimal control of constrained nonlinear systems / Murad Abu-Khalafand Frank L. Lewis -- Reinforced learning for online control and optimisation / James J. Govindhasamy [et autres] -- Reinforcement learning and multi-agent control within an internet environment / P.R.J. Tillotson, Q.H. Wu and P.M. Hughes -- Combined computational intelligence and anlytical methods in fault diagnosis / Ronald J. Patton [et autres] -- Appli…

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