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Chaos Theory & Control, Springer 2015 : Call for chapters: Advances in Chaos Theory and Intelligent Control

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Submission Deadline TBD
Categories    computer science   control   artificial intelligence   robotics
 

Call For Papers

Call for Book Chapters
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Chapter Proposal Submission deadline: March 31, 2015
Full Chapter Submission deadline: May 31, 2015
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Book Chapters for:
Advances in Chaos Theory and Intelligent Control
Published by: Studies in Fuzziness and Soft Computing, Springer-Verlag, Germany
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Book Editors

Asst. Prof. Ahmad Taher Azar, IEEE Senior Member
Faculty of Computers and Information,
Benha University, Egypt
Email: ahmad.azar@fci.bu.edu.eg; ahmad_t_azar@ieee.org

Prof. Sundarapandian Vaidyanathan, D.Sc.
Professor and Dean, R & D Centre, Vel Tech University, India
Email: sundarvtu@gmail.com
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DESCRIPTION:

Chaos theory deals with the behaviour of dynamical systems and maps that are highly sensitive to initial conditions. The sensitivity to initial conditions is usually called as butterfly effect for dynamical systems and maps. Chaotic systems can be observed in many natural systems such as weather and climate. Chaos theory has applications in several areas such as vibration control, electric circuits, chemical reactions, lasers, combustion engines, computers, cryptosystems, encryption, secure communications, biology, medicine, management, finance, etc. Chaotic behaviour can be studied through the analysis of a chaotic mathematical model (discrete or continuous). This book focuses on research problems like modelling and analysis of chaotic systems, stabilization and control of chaotic systems, chaos synchronization and applications, chaos in communications and cryptosystems, applications of chaos in engineering, etc. Various tools and methodologies have been developed for the analysis of chaotic systems such as Poincaré maps, Lyapunov exponents, active control, adaptive control, sliding mode control, backstepping control, fuzzy logic control, sampled-data feedback control, and this book will use latest control techniques for the study of chaotic systems and control.
Intelligent control describes a class of control techniques that use various artificial intelligence (AI) techniques such as neural network control, Bayesian control, fuzzy logic control, neuro-fuzzy control, expert systems, genetic control, evolutionary algorithms, and intelligent agents. Intelligent control systems are very useful when no mathematical model is available a priori and intelligent control itself develops a system to be controlled. Intelligent control is inspired by the intelligence and genetics of living beings. This book focuses on various applications of intelligent control on nonlinear control systems including chaotic systems.
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OBJECTIVE OF THE BOOK

The objective of this book takes a modest attempt to cover the framework of Chaos Theory and its applications in a single volume. The book is not only a valuable title on the publishing market, but is also a successful synthesis of Intelligent Control techniques in world literature. Several multi-disciplinary applications in Control, Engineering and computational intelligence will be discussed inside this volume. This book should be recommended to engineers of various specialties, mathematicians, information technology specialists and students of those or related specialties. Both novice and expert readers should find this book a useful reference in the field of chaos theory, soft-computing and intelligent control.
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TOPICS
This book discusses latest research topics, methodologies, analysis, numerical study, and applications of chaos theory, soft-computing and intelligent control.
· Chaos and nonlinear dynamics
· Chaos, ecology and economics
· Chaos, fractals and solitons
· Chemical chaos
· Classical deterministic chaos
· Complex dynamical systems
· Control of chaotic systems
· Data analysis and chaos
· Decision support systems
· Expert systems
· Evolutionary computation and control
· Fault diagnosis
· Fuzzy logic control
· Genetic algorithms
· Hybrid learning systems
· Hyperchaotic systems
· Intelligent control systems
· Memristors and chaos
· Neural networks based control systems
· Neuro-fuzzy control
· Nonlinear control systems
· Optimal control and applications
· Planning and scheduling
· Soft-computing techniques
· Stochastic chaos
· Synchronization of chaotic systems
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CHAPTER SUBMISSION AND AUTHOR INFORMATION:

Submitted manuscripts should conform to the standard guidelines of the Springer's book chapter format. Manuscripts must be prepared using Latex or Word and according to the Springer's svmlt template that can be downloaded from the (link). Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically to the following email addresses: ahmad_t_azar@ieee.org, and sundarvtu@gmail.com, with the subject title as: “Advances in Chaos Theory and Intelligent Control". Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published in Studies in Fuzziness and Soft Computing, by Springer-Verlag, Germany.
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IMPORTANT DATES

April 15, 2016: Tentative title, author affiliation and one page abstract
June 30, 2016: Deadline for chapter submission
July 31, 2016: Acceptance notification
August 31, 2016: Registration and camera-ready submission
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Book Editors

Asst. Prof. Ahmad Taher Azar, IEEE Senior Member
Faculty of Computers and Information,
Benha University, Egypt
Email: ahmad.azar@fci.bu.edu.eg; ahmad_t_azar@ieee.org

Prof. Sundarapandian Vaidyanathan, D.Sc.
Professor and Dean, R & D Centre, Vel Tech University, India
Email: sundarvtu@gmail.com
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