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. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.

� propos de l?auteur:

Antonio Ruano received his First Degree in Electronic and Telecommunications Engineering from the University of Aveiro, Portugal, in 1982, his MSc in Electrothecnic Engineering from the University of Wales in 1992. In 1992 he joined the Department of Electronic Engineering and Informatics of the University of Algarve, where in 1996 he became Associate Professor of Automatic Control. He is Associate Editor for Automatica, a member of the Editorial Board of International Journal of Systems Science, and serves a reviewer for several journals and international conferences. He is a senior member of the IEE and a member of the Cognition for Control, Real-Time Computing and Control and Computer Control for Agricultural Applications TCs of IFAC.

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Articles li�s � Intelligent Control Systems Using Soft-Computing Methodologi...

Intelligent Control Systems Using Soft-Computing Methodologies, IEE control Series 70.

Ruano, A. E., Editor

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