Intelligent Control Systems Using Computational Intelligence Techniques

Front Cover
A.E. Ruano
IET, 2005 - Computers - 454 pages

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.

 

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Contents

An overview of nonlinear identification and control with
1
Notes
33
References
79
Multiobjective evolutionary computing solutions for control
89
Adaptive local linear modelling and control of nonlinear
119
Nonlinear system identification with local linear
153
Gaussian process approaches to nonlinear modelling
177
Neurofuzzy model construction design and estimation
219
A neural network approach for nearly optimal control
253
Reinforcement learning for online control and optimisation
293
Reinforcement learning and multiagent control within
327
Combined computational intelligence and analytical methods
349
Application of intelligent control to autonomous search
393
Applications of intelligent control in medicine
415
Index
447

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About the author (2005)

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.