Artificial Neural Networks for Modelling and Control of Non Linear Systems

Written By Johan A.K. Suykens
Artificial Neural Networks for Modelling and Control of Non Linear Systems
  • Publsiher : Springer Science & Business Media
  • Release : 06 December 2012
  • ISBN : 1475724934
  • Pages : 235 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Artificial Neural Networks for Modelling and Control of Non Linear Systems written by Johan A.K. Suykens which was release on 06 December 2012, this book published by Springer Science & Business Media. Available in PDF, EPUB and Kindle Format. Book excerpt: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that contain neural network architectures might be highly non-linear and difficult to analyse as a result. Artificial Neural Networks for Modelling and Control of Non-Linear Systems investigates the subject from a system theoretical point of view. However the mathematical theory that is required from the reader is limited to matrix calculus, basic analysis, differential equations and basic linear system theory. No preliminary knowledge of neural networks is explicitly required. The book presents both classical and novel network architectures and learning algorithms for modelling and control. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems. A major contribution of this book is to introduce NLq Theory as an extension towards modern control theory, in order to analyze and synthesize non-linear systems that contain linear together with static non-linear operators that satisfy a sector condition: neural state space control systems are an example. Moreover, it turns out that NLq Theory is unifying with respect to many problems arising in neural networks, systems and control. Examples show that complex non-linear systems can be modelled and controlled within NLq theory, including mastering chaos. The didactic flavor of this book makes it suitable for use as a text for a course on Neural Networks. In addition, researchers and designers will find many important new techniques, in particular NLq emTheory, that have applications in control theory, system theory, circuit theory and Time Series Analysis.

Artificial Neural Networks for Modelling and Control of Non Linear Systems

Artificial Neural Networks for Modelling and Control of Non Linear Systems
  • Author : Johan A.K. Suykens,Joos P.L. Vandewalle,B.L. de Moor
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 235
  • ISBN : 1475724934
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Summary : Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and off-line learning methods for the interconnection weights. However, dynamic models that ...

Network Models for Control and Processing

Network Models for Control and Processing
  • Author : Martin D. Fraser
  • Publisher : Intellect Books
  • Release Date : 2000
  • Total pages : 198
  • ISBN : 1475724934
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Summary : This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing in distributed networks. While traditional publications in the field of network models have focussed on specific areas, this successfully intersects many related fields. These cover: control processes, modelling features and operations ...

Neural Networks for Control

Neural Networks for Control
  • Author : W. Thomas Miller,Paul J. Werbos,Richard S. Sutton
  • Publisher : MIT Press
  • Release Date : 1995
  • Total pages : 544
  • ISBN : 1475724934
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Summary : Neural Networks for Control highlights key issues in learning control and identifiesresearch directions that could lead to practical solutions for control problems in criticalapplication domains. It addresses general issues of neural network based control and neural networklearning with regard to specific problems of motion planning and control in robotics, and ...

Process Modeling and Control of Enhanced Coagulation

Process Modeling and Control of Enhanced Coagulation
  • Author : Stephen John Stanley
  • Publisher : American Water Works Association
  • Release Date : 2000-01-01
  • Total pages : 145
  • ISBN : 1475724934
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Summary : Download or read online Process Modeling and Control of Enhanced Coagulation written by Stephen John Stanley, published by American Water Works Association which was released on 2000-01-01. Get Process Modeling and Control of Enhanced Coagulation Books now! Available in PDF, ePub and Kindle....

Neural Networks for Modelling and Control of Dynamic Systems

Neural Networks for Modelling and Control of Dynamic Systems
  • Author : M. Norgaard
  • Publisher : Unknown
  • Release Date : 2003
  • Total pages : 246
  • ISBN : 1475724934
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Summary : Download or read online Neural Networks for Modelling and Control of Dynamic Systems written by M. Norgaard, published by which was released on 2003. Get Neural Networks for Modelling and Control of Dynamic Systems Books now! Available in PDF, ePub and Kindle....

1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993

1993 IEEE International Conference on Neural Networks  San Francisco  California  March 28 April 1  1993
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1993
  • Total pages : 1983
  • ISBN : 1475724934
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Summary : Download or read online 1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993 written by , published by which was released on 1993. Get 1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993 Books now! Available in PDF, ePub and Kindle....

Neural Networks in Robotics

Neural Networks in Robotics
  • Author : George A. Bekey,Kenneth Y. Goldberg
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 563
  • ISBN : 1475724934
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Summary : Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is ...

Artificial Neural Networks in Food Processing

Artificial Neural Networks in Food Processing
  • Author : Mohamed Tarek Khadir
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-01-18
  • Total pages : 200
  • ISBN : 1475724934
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Summary : Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food ...

Neural Networks in Bioprocessing and Chemical Engineering

Neural Networks in Bioprocessing and Chemical Engineering
  • Author : D. R. Baughman,Y. A. Liu
  • Publisher : Academic Press
  • Release Date : 2014-06-28
  • Total pages : 488
  • ISBN : 1475724934
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Summary : Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical ...

A Comprehensive Guide to Neural Network Modeling

A Comprehensive Guide to Neural Network Modeling
  • Author : Steffen Skaar
  • Publisher : Nova Science Publishers
  • Release Date : 2020-10-26
  • Total pages : 172
  • ISBN : 1475724934
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Summary : As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific literature regarding the use of artificial neural networks for the modelling and optimization of food drying processes. The applications of artificial neural networks in food engineering are presented, particularly focusing ...

Neural Network Engineering in Dynamic Control Systems

Neural Network Engineering in Dynamic Control Systems
  • Author : Kenneth J. Hunt,George R. Irwin,Kevin Warwick
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 282
  • ISBN : 1475724934
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Summary : The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development ...

Advances In Intelligent Control

Advances In Intelligent Control
  • Author : C J Harris
  • Publisher : CRC Press
  • Release Date : 1994-03-11
  • Total pages : 373
  • ISBN : 1475724934
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Summary : "Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns ...

Modelling and Control in Agriculture Horticulture and Post harvest Processing Agricontrol 2000

Modelling and Control in Agriculture  Horticulture  and Post harvest Processing  Agricontrol 2000
  • Author : Gerrit van Straten,K. J. Keesman,J. Bontsema
  • Publisher : Pergamon
  • Release Date : 2001
  • Total pages : 328
  • ISBN : 1475724934
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Summary : This Proceedings contains the papers presented at the IFAC Conference on Modelling and Control in Agriculture, Horticulture and Post-Harvest Processing held in Wageningen, The Netherlands on 10-12 July 2000. The keynote contributions include an inside view of the challenges of production for advanced life support systems in space, from which much ...

Neural Network Modeling

Neural Network Modeling
  • Author : P. S. Neelakanta,Dolores DeGroff
  • Publisher : CRC Press
  • Release Date : 1994-07-12
  • Total pages : 256
  • ISBN : 1475724934
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Summary : Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. ...

Multi Resolution Methods for Modeling and Control of Dynamical Systems

Multi Resolution Methods for Modeling and Control of Dynamical Systems
  • Author : Puneet Singla,John L. Junkins
  • Publisher : CRC Press
  • Release Date : 2008-08-01
  • Total pages : 320
  • ISBN : 1475724934
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Summary : Unifying the most important methodology in this field, Multi-Resolution Methods for Modeling and Control of Dynamical Systems explores existing approximation methods as well as develops new ones for the approximate solution of large-scale dynamical system problems. It brings together a wide set of material from classical orthogonal function approximation, neural ...