Recent Advances in Nonlinear Dynamics and Synchronization

With Selected Applications in Electrical Engineering, Neurocomputing, and Transportation

Nonfiction, Science & Nature, Science, Physics, Chaotic Behavior, Technology, Reference & Language, Reference
Cover of the book Recent Advances in Nonlinear Dynamics and Synchronization by , Springer International Publishing
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Author: ISBN: 9783319589961
Publisher: Springer International Publishing Publication: July 25, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319589961
Publisher: Springer International Publishing
Publication: July 25, 2017
Imprint: Springer
Language: English

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical systems, presenting both literature reviews and novel concepts.

 

It develops analytical or numerical approaches, which are simple to use, robust, stable, flexible and universally applicable to the analysis of complex nonlinear dynamical systems. As such it addresses key challenges are addressed, e.g. efficient handling of time-varying dynamics, efficient design, faster numerical computations, robustness, stability and convergence of algorithms.

 

The book provides a series of contributions discussing either the design or analysis of complex systems in sciences and engineering, and the concepts developed involve nonlinear dynamics, synchronization, optimization, machine learning, and forecasting. Both theoretical and practical aspects of diverse areas are investigated, specifically neuroco

mputing, transportation engineering, theoretical electrical engineering, signal processing, communications engineering, and computational intelligence.

 

It is a valuable resource for students and researchers interested in nonlinear dynamics and synchronization with applications in selected areas.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical systems, presenting both literature reviews and novel concepts.

 

It develops analytical or numerical approaches, which are simple to use, robust, stable, flexible and universally applicable to the analysis of complex nonlinear dynamical systems. As such it addresses key challenges are addressed, e.g. efficient handling of time-varying dynamics, efficient design, faster numerical computations, robustness, stability and convergence of algorithms.

 

The book provides a series of contributions discussing either the design or analysis of complex systems in sciences and engineering, and the concepts developed involve nonlinear dynamics, synchronization, optimization, machine learning, and forecasting. Both theoretical and practical aspects of diverse areas are investigated, specifically neuroco

mputing, transportation engineering, theoretical electrical engineering, signal processing, communications engineering, and computational intelligence.

 

It is a valuable resource for students and researchers interested in nonlinear dynamics and synchronization with applications in selected areas.

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