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Neural Network Applications in Control

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Editors: G. W. Irwin 1 ; K. Warwick 2 ; K. J. Hunt 3
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Publication Year: 1995

The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the fundamental control principles, these are followed by a series of application studies, most of which are industrially based, and the book concludes with a consideration of some recent research.

Inspec keywords: chemical engineering; fuzzy neural nets; image colour analysis; approximation theory; process control; medical control systems; nonlinear control systems; power control; nonlinear dynamical systems; fuzzy control; haemodynamics; machine control; speech processing; motor drives; health care; state estimation; neurocontrollers; computer vision

Other keywords: neurocontrol; fuzzy-neural control; speech application; approximation theory; state estimation; chemical process application; vision application; neurofuzzy adaptive modelling; real-time drive control; intensive-care blood pressure management; system identification; dynamic artificial neural network; nonlinear process control; electric power application; colour application; digital neural networks; nonlinear dynamical process

Subjects: Neurocontrol; Fuzzy control; Control applications in chemical and oil refining industries; Biological and medical control systems; Control of electric power systems; Neural computing techniques; Nonlinear control systems

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