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 : /5 from reviews
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Download or read book entitled Artificial Neural Networks for Modelling and Control of Non Linear Systems by author: Johan A.K. Suykens which was release on 06 December 2012 and published by Springer Science & Business Media with total page 235 pages . This book available in PDF, EPUB and Kindle Format. 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 ...

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 ...

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 ...

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 : 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. Download full Process Modeling and Control of Enhanced Coagulation 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 ...

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 : Read online Neural Networks for Modelling and Control of Dynamic Systems written by M. Norgaard, published by which was released on 2003. Download full Neural Networks for Modelling and Control of Dynamic Systems Books now! Available in PDF, ePub and Kindle....

Neurofuzzy Adaptive Modelling and Control

Neurofuzzy Adaptive Modelling and Control
  • Author : Martin Brown,Harris Chris,Chris Harris
  • Publisher : Unknown
  • Release Date : 1994
  • Total pages : 508
  • ISBN : 1475724934
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Summary : Describes several adaptive neural and fuzzy networks and introduces the associate memory class of systems. The Albus CMAC, the B-spline network and a class of fuzzy systems are described and analyzed. Their desirable features, such as local learning, are stressed and the algorithms are evaluated....

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z Number

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z Number
  • Author : Wen Yu,Raheleh Jafari
  • Publisher : John Wiley & Sons
  • Release Date : 2019-07-02
  • Total pages : 208
  • ISBN : 1475724934
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Summary : An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. ...

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 ...

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 : 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. Download full 1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993 Books now! Available in PDF, ePub and Kindle....

Modeling and Control of Complex Systems

Modeling and Control of Complex Systems
  • Author : Petros A. Ioannou,Andreas Pitsillides
  • Publisher : CRC Press
  • Release Date : 2007-12-26
  • Total pages : 544
  • ISBN : 1475724934
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Summary : Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying ...

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 ...

Neural Network Models

Neural Network Models
  • Author : Philippe de Wilde
  • Publisher : Springer Science & Business Media
  • Release Date : 1997-05-30
  • Total pages : 174
  • ISBN : 1475724934
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Summary : Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks....

Food Processing Operations Modeling

Food Processing Operations Modeling
  • Author : Joseph M. Irudayaraj
  • Publisher : CRC Press
  • Release Date : 2001-02-27
  • Total pages : 368
  • ISBN : 1475724934
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Summary : A comprehensive survey of thermal processing and modelling techniques in food process engineering. It combines theory and practice to solve actual problems in the food processing industry - emphasizing heat and mass transfer, fluid flow, electromagnetics, stochastic processes, and neural network analysis in food systems. There are specific case stu...

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 ...