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Handbook of Dynamical Systems

Handbook of Dynamical Systems
Author: H. Broer
Publisher: Elsevier
Total Pages: 556
Release: 2010-11-10
Genre: Mathematics
ISBN: 0080932266

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In this volume, the authors present a collection of surveys on various aspects of the theory of bifurcations of differentiable dynamical systems and related topics. By selecting these subjects, they focus on those developments from which research will be active in the coming years. The surveys are intended to educate the reader on the recent literature on the following subjects: transversality and generic properties like the various forms of the so-called Kupka-Smale theorem, the Closing Lemma and generic local bifurcations of functions (so-called catastrophe theory) and generic local bifurcations in 1-parameter families of dynamical systems, and notions of structural stability and moduli. Covers recent literature on various topics related to the theory of bifurcations of differentiable dynamical systems Highlights developments that are the foundation for future research in this field Provides material in the form of surveys, which are important tools for introducing the bifurcations of differentiable dynamical systems


Dynamical Systems and Turbulence

Dynamical Systems and Turbulence
Author: David Anthony James Rand
Publisher:
Total Pages: 390
Release: 1981
Genre: Fluid dynamics
ISBN: 9780387111735

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Handbook of Dynamical Systems

Handbook of Dynamical Systems
Author: B. Fiedler
Publisher: Gulf Professional Publishing
Total Pages: 1099
Release: 2002-02-21
Genre: Science
ISBN: 0080532845

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This handbook is volume II in a series collecting mathematical state-of-the-art surveys in the field of dynamical systems. Much of this field has developed from interactions with other areas of science, and this volume shows how concepts of dynamical systems further the understanding of mathematical issues that arise in applications. Although modeling issues are addressed, the central theme is the mathematically rigorous investigation of the resulting differential equations and their dynamic behavior. However, the authors and editors have made an effort to ensure readability on a non-technical level for mathematicians from other fields and for other scientists and engineers. The eighteen surveys collected here do not aspire to encyclopedic completeness, but present selected paradigms. The surveys are grouped into those emphasizing finite-dimensional methods, numerics, topological methods, and partial differential equations. Application areas include the dynamics of neural networks, fluid flows, nonlinear optics, and many others. While the survey articles can be read independently, they deeply share recurrent themes from dynamical systems. Attractors, bifurcations, center manifolds, dimension reduction, ergodicity, homoclinicity, hyperbolicity, invariant and inertial manifolds, normal forms, recurrence, shift dynamics, stability, to namejust a few, are ubiquitous dynamical concepts throughout the articles.


Dynamical Systems And Related Topics - Proceedings Of The International Conference

Dynamical Systems And Related Topics - Proceedings Of The International Conference
Author: K Shiraiwa
Publisher: World Scientific
Total Pages: 642
Release: 1991-11-29
Genre:
ISBN: 9814569194

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This volume contains the proceedings of a satellite conference of the 1990 International Congress of Mathematicians. The main topics presented are mathematical theory of dynamical systems, complex dynamical systems, ergodic theory, chaos, and applications.


Methods of Model Based Process Control

Methods of Model Based Process Control
Author: R. Berber
Publisher: Springer Science & Business Media
Total Pages: 814
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9401101353

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Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.