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Springer Analysis and Control of Complex Dynamical Systems - Springer

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Description

This groundbreaking book presents theoretical advances in controlling complex dynamical systems, bridging dynamical systems theory and control theory research. It addresses three fundamental types of complexity: bifurcation phenomena under model uncertainty, complex behaviour encompassing periodic, quasi-periodic, and chaotic orbits, and network complexity arising from interactions between subsystems. Developed through collaborative research, the work provides mathematicians, physicists, and engineers with essential methods for analysing and managing intricate dynamic systems. The comprehensive approach combines rigorous mathematical foundations with practical control strategies, making it an indispensable reference for professionals working with nonlinear dynamics, bifurcation analysis, and system stability. Volume 7 in the Mathematics for Industry series offers both theoretical insights and applicable techniques for contemporary challenges in complex systems.

Key Features

Covers bifurcation phenomena subject to model uncertainty, providing robust analysis methods for complex dynamical systems.

Explores complex behaviour including periodic, quasi-periodic, and chaotic orbits within dynamical systems control frameworks.

Addresses network complexity emerging from dynamical interactions between multiple subsystems in integrated control structures.

Presents collaborative research bridging dynamical systems theory and control theory for comprehensive system analysis.

Part of the Mathematics for Industry series, providing industry-relevant mathematical foundations and applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 October 2016
Listed Since
29 September 2016

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