Neural Network Modeling and Identification of Dynamical Systems

Book Neural Network Modeling and Identification of Dynamical Systems Cover

Download book entitled Neural Network Modeling and Identification of Dynamical Systems by Yuri Tiumentsev and published by Academic Press in PDF, EPUB and Kindle. Read Neural Network Modeling and Identification of Dynamical Systems book directly from your devices anywhere anytime. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : Academic Press
  • Release : 17 May 2019
  • ISBN : 9780128154304
  • Page : 332 pages
  • Rating : 4.5/5 from 103 voters

Neural Network Modeling and Identification of Dynamical Systems Book PDF 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

DOWNLOAD BOOK

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
  • ISBN : 9780128154304
DOWNLOAD BOOKNeural Network Modeling and Identification of Dynamical Systems

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

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
  • ISBN : OCLC:876537456
DOWNLOAD BOOKNeural Networks for Modelling and Control of Dynamic Systems

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
  • ISBN : 9781461531807
DOWNLOAD BOOKNeural Networks in Robotics

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 to build robots which can emulate the ability of living organisms to integrate perceptual inputs smoothly with motor responses, even in the presence of novel stimuli and changes in the

Identification and Control of Non-linear Time-varying Dynamical Systems Using Artificial Neural Networks

Identification and Control of Non-linear Time-varying Dynamical Systems Using Artificial Neural Networks
  • Author : Shahar Dror,Daniel Joseph Collins,Naval Postgraduate School (U.S.)
  • Publisher : Unknown
  • Release Date : 1992
  • ISBN : OCLC:34297543
DOWNLOAD BOOKIdentification and Control of Non-linear Time-varying Dynamical Systems Using Artificial Neural Networks

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
  • ISBN : 9780128170793
DOWNLOAD BOOKNeural Networks Modeling and Control

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 uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on

Advances in Logic Based Intelligent Systems

Advances in Logic Based Intelligent Systems
  • Author : Kazumi Nakamatsu,Jair Minoro Abe
  • Publisher : IOS Press
  • Release Date : 2005
  • ISBN : 9781586035686
DOWNLOAD BOOKAdvances in Logic Based Intelligent Systems

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 in a different country than Brazil since its birth in 2000, and this has made the congress more international. This book is dedicated to Emeritus Professor Atsuyuki Suzuki in commemoration of

Advances in Neural Computation, Machine Learning, and Cognitive Research III

Advances in Neural Computation, Machine Learning, and Cognitive Research III
  • Author : Boris Kryzhanovsky,Witali Dunin-Barkowski,Vladimir Redko,Yury Tiumentsev
  • Publisher : Springer Nature
  • Release Date : 2019-09-03
  • ISBN : 9783030304256
DOWNLOAD BOOKAdvances in Neural Computation, Machine Learning, and Cognitive Research III

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXI International Conference on Neuroinformatics, held

Neural Network Systems Techniques and Applications

Neural Network Systems Techniques and Applications
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 1998-02-09
  • ISBN : 0080553907
DOWNLOAD BOOKNeural Network Systems Techniques and Applications

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 of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal