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
GET THIS BOOKArtificial Neural Networks for Modelling and Control of Non Linear Systems


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
GET BOOK

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 ...

Modelling and Control of Bioprocesses by Using Artificial Neural Networks and Hybridmodel

Modelling and Control of Bioprocesses by Using Artificial Neural Networks and Hybridmodel
  • Author : Ömer Sinan Genç,İzmir Yüksek Teknoloji Enstitüsü
  • Publisher : Unknown
  • Release Date : 2006
  • Total pages : 186
  • ISBN : 1475724934
GET BOOK

Summary : The aim of this study is modeling and control of bioprocesses by using neural networks and hybrid model techniques. To investigate the modeling techniques, ethanol fermentation with Saccharomyces Cerevisiae and recombinant Zymomonas mobilis and finally gluconic acid fermentation with Pseudomonas ovalis processes are chosen.Model equations of these applications are ...

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
GET BOOK

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 ...

Neural Networks Modelling and Control

Neural Networks Modelling and Control
  • Author : Alma Y. Alanis,Jorge D. Rios,Carlos Lopez-Franco,Nancy Arana-Daniel,Edgar N. Sanchez
  • Publisher : Academic Press
  • Release Date : 2019-10
  • Total pages : 158
  • ISBN : 1475724934
GET BOOK

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 ...

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
GET BOOK

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 ...

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
GET BOOK

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....

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
GET BOOK

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 Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems
  • Author : Yury Tiumentsev,Mikhail Egorchev
  • Publisher : Academic Press
  • Release Date : 2019-05-17
  • Total pages : 332
  • ISBN : 1475724934
GET BOOK

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 Network Modeling and Control

Neural Network Modeling and Control
  • Author : Zhengwei Wu
  • Publisher : Unknown
  • Release Date : 1999
  • Total pages : 160
  • ISBN : 1475724934
GET BOOK

Summary : Read online Neural Network Modeling and Control written by Zhengwei Wu, published by which was released on 1999. Download full Neural Network Modeling and Control Books now! Available in PDF, ePub and Kindle....

Neural Networks for Cooperative Control of Multiple Robot Arms

Neural Networks for Cooperative Control of Multiple Robot Arms
  • Author : Shuai Li,Yinyan Zhang
  • Publisher : Springer
  • Release Date : 2017-10-29
  • Total pages : 74
  • ISBN : 1475724934
GET BOOK

Summary : This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the ...

Neural Network Modeling and Control

Neural Network Modeling and Control
  • Author : Bernhard Eikens
  • Publisher : Unknown
  • Release Date : 1996
  • Total pages : 528
  • ISBN : 1475724934
GET BOOK

Summary : Read online Neural Network Modeling and Control written by Bernhard Eikens, published by which was released on 1996. Download full Neural Network Modeling and Control Books now! Available in PDF, ePub and Kindle....

Neural Network Modeling and Control of a Gyro Mirror System

Neural Network Modeling and Control of a Gyro Mirror System
  • Author : Ching Ping Wong
  • Publisher : Unknown
  • Release Date : 1999
  • Total pages : 240
  • ISBN : 1475724934
GET BOOK

Summary : Read online Neural Network Modeling and Control of a Gyro Mirror System written by Ching Ping Wong, published by which was released on 1999. Download full Neural Network Modeling and Control of a Gyro Mirror System Books now! Available in PDF, ePub and Kindle....

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
GET BOOK

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. ...

DNA Computing Based Genetic Algorithm

DNA Computing Based Genetic Algorithm
  • Author : Jili Tao,Ridong Zhang,Yong Zhu
  • Publisher : Springer Nature
  • Release Date : 2020-07-01
  • Total pages : 274
  • ISBN : 1475724934
GET BOOK

Summary : This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information ...

Application of Neural Networks to Modelling and Control

Application of Neural Networks to Modelling and Control
  • Author : G. F. Page,J. B. Gomm,D. Williams
  • Publisher : Unknown
  • Release Date : 1993
  • Total pages : 119
  • ISBN : 1475724934
GET BOOK

Summary : Read online Application of Neural Networks to Modelling and Control written by G. F. Page,J. B. Gomm,D. Williams, published by which was released on 1993. Download full Application of Neural Networks to Modelling and Control Books now! Available in PDF, ePub and Kindle....