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Springer Analysis and Control of Complex Dynamical Systems

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Description

Explore groundbreaking research in the field of dynamical systems and control theory with this comprehensive text from Springer. This book presents the first report on theoretical breakthroughs achieved through the collaboration of experts in both dynamical systems theory and control theory. It provides a deep look into three distinct types of complexity that define modern mathematical study. Readers will examine bifurcation phenomena occurring under model uncertainty, as well as complex behaviors such as chaotic orbits and periodic or quasi-periodic orbits. Additionally, the text addresses network complexity that arises from the interactions between various subsystems. This volume serves as a high-level resource for mathematicians and physicists seeking to understand the control of complex dynamical systems through a rigorous mathematical lens. It is an essential addition to the Mathematics for Industry series for those working in advanced theoretical research.

Key Features

Covers theoretical breakthroughs at the intersection of dynamical systems theory and control theory.

Analyzes bifurcation phenomena specifically subject to model uncertainty.

Examines complex behaviors including chaotic, periodic, and quasi-periodic orbits.

Explores network complexity emerging from dynamical interactions between different subsystems.

Provides a specialized resource for mathematicians and physicists studying complex systems.

Part of the Mathematics for Industry series (Volume 7) from Springer.

Product Specifications

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

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