Adaptation In Dynamical Systems
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Adaptation In Dynamical Systems
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Author : Ivan Tyukin
language : en
Publisher:
Release Date : 2014-05-14
Adaptation In Dynamical Systems written by Ivan Tyukin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Control theory categories.
A unifying system-theoretic view of adaptation in dynamical systems for researchers and graduates in cybernetics, mathematical modelling and neuroscience.
Mental Models And Their Dynamics Adaptation And Control
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Author : Jan Treur
language : en
Publisher: Springer Nature
Release Date : 2022-01-26
Mental Models And Their Dynamics Adaptation And Control written by Jan Treur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-26 with Technology & Engineering categories.
This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.
Neural Network Modeling And Identification Of Dynamical Systems
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Author : Yury Tiumentsev
language : en
Publisher: Academic Press
Release Date : 2019-05-17
Neural Network Modeling And Identification Of Dynamical Systems written by Yury Tiumentsev and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Science categories.
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
Dynamical Systems
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Author : José A. Tenreiro Machado
language : en
Publisher: MDPI
Release Date : 2018-10-09
Dynamical Systems written by José A. Tenreiro Machado and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-09 with Science categories.
Printed Edition of the Special Issue Published in Entropy
Adaptation And Learning In Automatic Systems
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Author : Tsypkin
language : en
Publisher: Academic Press
Release Date : 1971-06-26
Adaptation And Learning In Automatic Systems written by Tsypkin and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-06-26 with Mathematics categories.
Adaptation and Learning in Automatic Systems
The Origins Of Order
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Author : Stuart A. Kauffman
language : en
Publisher: Oxford University Press, USA
Release Date : 1993
The Origins Of Order written by Stuart A. Kauffman and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Medical categories.
This monograph extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. It explains how complex systems, contrary to expectations, can spontaneously exhibit degrees of order.
Modelling Simulation And Control Of Non Linear Dynamical Systems
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Author : Patricia Melin
language : en
Publisher: CRC Press
Release Date : 2001-10-25
Modelling Simulation And Control Of Non Linear Dynamical Systems written by Patricia Melin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-25 with Mathematics categories.
These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
The Dynamics And Evolution Of Social Systems
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Author : Jürgen Klüver
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
The Dynamics And Evolution Of Social Systems written by Jürgen Klüver and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Philosophy categories.
When I started with this book several years ago I originally intended to write an introduction to mathematical systems theory for social scientists. Yet the more I thought about systems theory on the one side and theoretical sociology on the other the more I became convinced that the classical mathematical tools are not very well suited for the problems of sociology. Then I became acquainted with the researches on complex systems by the Santa Fe Institute and in particular with cellular automata, Boolean networks and genetic algorithms. These mathematically very simple but extremely efficient tools are, in my opinion, very well appropriate for modeling social dynamics. Therefore I tried to reformulate several classical problems of theoretical sociology in terms of these formal systems and outline new possibilities for a mathematical sociology which is able to join immediately on the great traditions of theoretical sociology. The result is this book; whether I succeeded with it is of course up to the readers. As the readers will perceive, the book could not have been written by me alone but only by the joint labors of the computer group at the Interdisciplinary Center of Research in Higher Education at the University of Essen. The members of the group, Christina Stoica, Jom Schmidt and Ralph Kier, are named in several subchapters as co-authors. Yet even more important than their contributions to this book were the permanent discussions with them and their patience with my new and very speculative ideas. Many thanks.
Applications Of Nonlinear Dynamics
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Author : Visarath In
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-02-11
Applications Of Nonlinear Dynamics written by Visarath In and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-11 with Technology & Engineering categories.
The ?eld of applied nonlinear dynamics has attracted scientists and engineers across many different disciplines to develop innovative ideas and methods to study c- plex behavior exhibited by relatively simple systems. Examples include: population dynamics, ?uidization processes, applied optics, stochastic resonance, ?ocking and ?ightformations,lasers,andmechanicalandelectricaloscillators. Acommontheme among these and many other examples is the underlying universal laws of nonl- ear science that govern the behavior, in space and time, of a given system. These laws are universal in the sense that they transcend the model-speci?c features of a system and so they can be readily applied to explain and predict the behavior of a wide ranging phenomena, natural and arti?cial ones. Thus the emphasis in the past decades has been in explaining nonlinear phenomena with signi?cantly less att- tion paid to exploiting the rich behavior of nonlinear systems to design and fabricate new devices that can operate more ef?ciently. Recently, there has been a series of meetings on topics such as Experimental Chaos, Neural Coding, and Stochastic Resonance, which have brought together many researchers in the ?eld of nonlinear dynamics to discuss, mainly, theoretical ideas that may have the potential for further implementation. In contrast, the goal of the 2007 ICAND (International Conference on Applied Nonlinear Dynamics) was focused more sharply on the implementation of theoretical ideas into actual - vices and systems.
Adaptive Systems In Control And Signal Processing 1989
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Author : T.S. Durrani
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Adaptive Systems In Control And Signal Processing 1989 written by T.S. Durrani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Technology & Engineering categories.
The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.