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 ...

Neural Networks for Control

Neural Networks for Control
  • Author : W. Thomas Miller,Richard S. Sutton,Paul J. Werbos
  • Publisher : MIT Press
  • Release Date : 1995
  • Total pages : 544
  • ISBN : 1475724934
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Summary : Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (...

Neural Networks Modeling and Control

Neural Networks Modeling and Control
  • Author : Jorge D. Rios,Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
  • Publisher : Academic Press
  • Release Date : 2020-01-15
  • Total pages : 158
  • ISBN : 1475724934
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Summary : Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under ...

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 Networks for Identification Prediction and Control

Neural Networks for Identification  Prediction and Control
  • Author : Duc T. Pham,Xing Liu
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 238
  • ISBN : 1475724934
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Summary : In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of ...

Neural Network Modeling and Control

Neural Network Modeling and Control
  • Author : Zhengwei Wu
  • Publisher : Unknown
  • Release Date : 1999
  • Total pages : 160
  • ISBN : 1475724934
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Summary : Download or read online Neural Network Modeling and Control written by Zhengwei Wu, published by which was released on 1999. Get Neural Network Modeling and Control Books now! Available in PDF, ePub and Kindle....

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 ...

Thermal Food Processing

Thermal Food Processing
  • Author : Da-Wen Sun
  • Publisher : CRC Press
  • Release Date : 2012-05-16
  • Total pages : 688
  • ISBN : 1475724934
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Summary : Thermal processing remains one of the most important processes in the food industry. Now in its second edition, Thermal Food Processing: New Technologies and Quality Issues continues to explore the latest developments in the field. Assembling the work of a worldwide panel of experts, this volume highlights topics vital to ...

Neural Network Modeling

Neural Network Modeling
  • Author : P. S. Neelakanta,Dolores DeGroff
  • Publisher : CRC Press
  • Release Date : 2018-02-06
  • 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. ...

Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems
  • Author : Yuri Tiumentsev,Mikhail Egorchev
  • Publisher : Academic Press
  • Release Date : 2019-05-17
  • Total pages : 332
  • ISBN : 1475724934
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Summary : Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby ...

Neural Networks for System Modeling and Control

Neural Networks for System Modeling and Control
  • Author : Jeffrey David Donne,Ümit Özgüner
  • Publisher : Unknown
  • Release Date : 1991
  • Total pages : 318
  • ISBN : 1475724934
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Summary : Download or read online Neural Networks for System Modeling and Control written by Jeffrey David Donne,Ümit Özgüner, published by which was released on 1991. Get Neural Networks for System Modeling and Control Books now! Available in PDF, ePub and Kindle....

Dynamic Interactions in Neural Networks Models and Data

Dynamic Interactions in Neural Networks  Models and Data
  • Author : Michael A. Arbib
  • Publisher : Springer Science & Business Media
  • Release Date : 1989
  • Total pages : 280
  • ISBN : 1475724934
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Summary : The study of neural networks is enjoying a great renaissance, both in computational neuroscience, the development of information processing models of living brains, and in neural computing, the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume has two interpretations: It presents ...

Soft Computing Models in Industrial and Environmental Applications 5th International Workshop SOCO 2010

Soft Computing Models in Industrial and Environmental Applications  5th International Workshop  SOCO 2010
  • Author : Paulo Novais,Cesar Analide,Javier Sedano
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-05-29
  • Total pages : 262
  • ISBN : 1475724934
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Summary : This volume of Advances in Intelligent and Soft Computing contains accepted - pers presented at SOCO 2010 held in the beautiful and historic city of Guimarães, Portugal, June 2010. The global purpose of SOCO conferences has been to provide a broad and - terdisciplinary forum for soft computing and associated paradigms, ...

The Neurobiology of Neural Networks

The Neurobiology of Neural Networks
  • Author : Daniel Gardner
  • Publisher : MIT Press
  • Release Date : 1993
  • Total pages : 227
  • ISBN : 1475724934
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Summary : This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between ...

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....