Neural Network Modeling and Identification of Dynamical Systems
  • Author : Yuri Tiumentsev
  • Release Date : 17 May 2019
  • Publisher : Academic Press
  • Genre : Science
  • Pages : 332
  • ISBN 13 : 9780128154304

Neural Network Modeling and Identification of Dynamical Systems 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 converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area

Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems

Author : Yuri Tiumentsev,Mikhail Egorchev
Publisher : Academic Press
Genre : Science
Total View : 5368 Views
File Size : 53,9 Mb
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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 Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems

Author : Yury Tiumentsev,Mikhail Egorchev
Publisher : Academic Press
Genre : Dynamics
Total View : 8327 Views
File Size : 52,5 Mb
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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 ...

Nonlinear System Identification

Nonlinear System Identification

Author : Oliver Nelles
Publisher : Springer Science & Business Media
Genre : Technology & Engineering
Total View : 8139 Views
File Size : 41,7 Mb
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Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises....

Neural Networks in Robotics

Neural Networks in Robotics

Author : George A. Bekey,Kenneth Y. Goldberg
Publisher : Springer Science & Business Media
Genre : Technology & Engineering
Total View : 8552 Views
File Size : 45,8 Mb
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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 ...

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Author : Jorge D. Rios,Alma Y. Alanis,Nancy Arana-Daniel,Carlos Lopez-Franco
Publisher : Academic Press
Genre : Science
Total View : 6894 Views
File Size : 43,9 Mb
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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 ...

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Author : Kazumi Nakamatsu,Jair Minoro Abe
Publisher : IOS Press
Genre : Computers
Total View : 7682 Views
File Size : 42,5 Mb
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LAPTEC2005 promoted the discussion and interaction between researchers and practitioners focused on both theoretical and practical disciplines concerning logics applied to technology, with diverse backgrounds including all kinds of intelligent systems having classical or non-classical logics as underlying common matters. It was the first time for LAPTEC to be held ...

Neural Network Systems Techniques and Applications

Neural Network Systems Techniques and Applications

Author : Anonim
Publisher : Academic Press
Genre : Computers
Total View : 4215 Views
File Size : 41,9 Mb
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The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Control and Dynamic Systems covers the important topics ...