INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION

INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION PDF Author: Abdelhamid Bouchachia
Publisher: Springer Science & Business Media
ISBN: 9491216309
Category : Computers
Languages : en
Pages : 313

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Book Description
Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure.

INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION

INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION PDF Author: Abdelhamid Bouchachia
Publisher: Springer Science & Business Media
ISBN: 9491216309
Category : Computers
Languages : en
Pages : 313

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Book Description
Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure.

Recent Advances in Nonlinear Dynamics and Synchronization

Recent Advances in Nonlinear Dynamics and Synchronization PDF Author: Kyandoghere Kyamakya
Publisher: Springer Science & Business Media
ISBN: 3642042260
Category : Computers
Languages : en
Pages : 401

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Book Description
The selected contributions of this book shed light on a series of interesting aspects related to nonlinear dynamics and synchronization with the aim of demonstrating some of their interesting applications in a series of selected disciplines. This book contains thirteenth chapters which are organized around five main parts. The first part (containing five chapters) does focus on theoretical aspects and recent trends of nonlinear dynamics and synchronization. The second part (two chapters) presents some modeling and simulation issues through concrete application examples. The third part (two chapters) is focused on the application of nonlinear dynamics and synchronization in transportation. The fourth part (two chapters) presents some applications of synchronization in security-related system concepts. The fifth part (two chapters) considers further applications areas, i.e. pattern recognition and communication engineering.

Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering

Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering PDF Author: Kyandoghere Kyamakya
Publisher: Springer
ISBN: 3642377815
Category : Technology & Engineering
Languages : en
Pages : 481

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Book Description
This book contains a collection of recent advanced contributions in the field of nonlinear dynamics and synchronization, including selected applications in the area of theoretical electrical engineering. The present book is divided into twenty-one chapters grouped in five parts. The first part focuses on theoretical issues related to chaos and synchronization and their potential applications in mechanics, transportation, communication and security. The second part handles dynamic systems modelling and simulation with special applications to real physical systems and phenomena. The third part discusses some fundamentals of electromagnetics (EM) and addresses the modelling and simulation in some real physical electromagnetic scenarios. The fourth part mainly addresses stability concerns. Finally, the last part assembles some sample applications in the area of optimization, data mining, pattern recognition and image processing.

Optical Communication with Chaotic Lasers

Optical Communication with Chaotic Lasers PDF Author: Atsushi Uchida
Publisher: John Wiley & Sons
ISBN: 352740869X
Category : Technology & Engineering
Languages : de
Pages : 669

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Book Description
Starting with an introduction to the fundamental physics in chaotic instabilities in laser systems, this comprehensive and unified reference goes on to present the techniques and technology of synchronization of chaos in coupled lasers, as well as the many applications to lasers and optics, communications, security and information technology. Throughout, it presents the current state of knowledge, including encoding/decoding techniques, performance of chaotic communication systems, random number generation, and novel communication technologies.

Intelligence for Nonlinear Dynamics and Synchronization

Intelligence for Nonlinear Dynamics and Synchronization PDF Author: Abdelhamid Bouchachia
Publisher: World Scientific
ISBN: 9789078677338
Category : Computers
Languages : en
Pages : 0

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Book Description
Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure.

Dynamical Systems in Neuroscience

Dynamical Systems in Neuroscience PDF Author: Eugene M. Izhikevich
Publisher: MIT Press
ISBN: 0262514206
Category : Medical
Languages : en
Pages : 459

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Book Description
Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

Synchronization

Synchronization PDF Author: Arkady Pikovsky
Publisher: Cambridge University Press
ISBN: 0521592852
Category : Mathematics
Languages : en
Pages : 435

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Book Description
The book describes synchronization phenomena using both classical results and more recent developments.

Intelligence for Nonlinear Dynamics and Synchronisation

Intelligence for Nonlinear Dynamics and Synchronisation PDF Author:
Publisher:
ISBN:
Category : Computational intelligence
Languages : en
Pages : 306

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Book Description


Proceedings of International Conference on Artificial Intelligence and Applications

Proceedings of International Conference on Artificial Intelligence and Applications PDF Author: Poonam Bansal
Publisher: Springer Nature
ISBN: 9811549923
Category : Technology & Engineering
Languages : en
Pages : 604

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Book Description
This book gathers high-quality papers presented at the International Conference on Artificial Intelligence and Applications (ICAIA 2020), held at Maharaja Surajmal Institute of Technology, New Delhi, India, on 6–7 February 2020. The book covers areas such as artificial neural networks, fuzzy systems, computational optimization technologies and machine learning.

Nonlinear Dynamics, Chaos, and Complexity

Nonlinear Dynamics, Chaos, and Complexity PDF Author: Dimitri Volchenkov
Publisher: Springer Nature
ISBN: 9811590346
Category : Mathematics
Languages : en
Pages : 198

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Book Description
This book demonstrates how mathematical methods and techniques can be used in synergy and create a new way of looking at complex systems. It becomes clear nowadays that the standard (graph-based) network approach, in which observable events and transportation hubs are represented by nodes and relations between them are represented by edges, fails to describe the important properties of complex systems, capture the dependence between their scales, and anticipate their future developments. Therefore, authors in this book discuss the new generalized theories capable to describe a complex nexus of dependences in multi-level complex systems and to effectively engineer their important functions. The collection of works devoted to the memory of Professor Valentin Afraimovich introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in physics, machine learning, brain and urban dynamics. The book can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, urban planners, and even musicians (with some mathematical background).