
Neural Network Applications in Control
Institution of Engineering and Technology (Publisher)
Published on 30. June 1995
Book
Hardback
309 pages
978-0-85296-852-9 (ISBN)
Description
Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.
The book introduces a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks, as well as the more usual multi-layer perception back-propagation networks. It begins by describing the basic principles and some essential design features, then goes on to examine in depth several application studies illustrating a range of advanced approaches to the topic.
The book introduces a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks, as well as the more usual multi-layer perception back-propagation networks. It begins by describing the basic principles and some essential design features, then goes on to examine in depth several application studies illustrating a range of advanced approaches to the topic.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 21 mm
Weight
636 gr
ISBN-13
978-0-85296-852-9 (9780852968529)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
George Irwin was appointed to a personal chair in control engineering at Queen's University Belfast in 1989. His research interests include algorithms and architectures for real-time control, neural networks and control applications in aerospace, electric power and chemical plant. He has published extensively in the field and has won the lEE's Kelvin, Heaviside and Mather premiums. Prof. Irwin is a member of the international Editorial Board of the IEE Proceedings on Control Theory & Applications and an Associate Editor of Control Engineering Practice. He also serves on the executive committee of the UK Automatic Control Council and the IFAC Technical Committee on Algorithms and Architectures for Real-Time Control. He is a Chartered Engineer and a Fellow of the IEE.
Kevin Warwick is Professor of Cybernetics and Head of the School of Engineering and Information Sciences at the University of Reading. He has previously worked at Oxford University, Imperial College, Newcastle University and Warwick University, as well as being employed by British Telecom for six years. A Chartered Engineer, a Fellow of the IEE and an Honorary Editor of the IEE Proceedings, he has published well over 200 papers in the areas of computer control, intelligent systems and neural networks.
Ken Hunt is with Daimler-Benz Systems Technology Research Berlin. His research activities involve the application of neural network methods for the modelling and control of nonlinear dynamic systems in applications including automotive and industrial control problems. He previously worked in the Mechanical Engineering Department of Glasgow University, with a Royal Society of Edinburgh research fellowship. Dr Hunt is the author or editor of six books and has published over 60 journal and conference papers. He is a Chartered Engineer, a Member of the IEE and serves on the IEE Professional Group Committee on Applied Control Techniques.
Kevin Warwick is Professor of Cybernetics and Head of the School of Engineering and Information Sciences at the University of Reading. He has previously worked at Oxford University, Imperial College, Newcastle University and Warwick University, as well as being employed by British Telecom for six years. A Chartered Engineer, a Fellow of the IEE and an Honorary Editor of the IEE Proceedings, he has published well over 200 papers in the areas of computer control, intelligent systems and neural networks.
Ken Hunt is with Daimler-Benz Systems Technology Research Berlin. His research activities involve the application of neural network methods for the modelling and control of nonlinear dynamic systems in applications including automotive and industrial control problems. He previously worked in the Mechanical Engineering Department of Glasgow University, with a Royal Society of Edinburgh research fellowship. Dr Hunt is the author or editor of six books and has published over 60 journal and conference papers. He is a Chartered Engineer, a Member of the IEE and serves on the IEE Professional Group Committee on Applied Control Techniques.
Content
Chapter 1: Neural networks: an introduction
Chapter 2: Digital neural networks
Chapter 3: Fundamentals of neurocontrol: a survey
Chapter 4: Selection of neural network structures: some approximation theory guidelines
Chapter 5: Electric power and chemical process applications
Chapter 6: Studies in artificial neural network based control
Chapter 7: Applications of dynamic artificial neural networks in state estimation and nonlinear process control
Chapter 8: Speech, vision and colour applications
Chapter 9: Real-time drive control with neural networks
Chapter 10: Fuzzy-neural control in intensive-care blood pressure management
Chapter 11: Neural networks and system identification
Chapter 12: Neurofuzzy adaptive modelling and construction of nonlinear dynamical processes
Chapter 2: Digital neural networks
Chapter 3: Fundamentals of neurocontrol: a survey
Chapter 4: Selection of neural network structures: some approximation theory guidelines
Chapter 5: Electric power and chemical process applications
Chapter 6: Studies in artificial neural network based control
Chapter 7: Applications of dynamic artificial neural networks in state estimation and nonlinear process control
Chapter 8: Speech, vision and colour applications
Chapter 9: Real-time drive control with neural networks
Chapter 10: Fuzzy-neural control in intensive-care blood pressure management
Chapter 11: Neural networks and system identification
Chapter 12: Neurofuzzy adaptive modelling and construction of nonlinear dynamical processes