Linearization Models for Complex Dynamical Systems

Linearization Models for Complex Dynamical Systems PDF Author: Mark Elin
Publisher: Birkhäuser
ISBN: 9783034605083
Category : Mathematics
Languages : en
Pages : 268

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Book Description
Linearization models for discrete and continuous time dynamical systems are the driving forces for modern geometric function theory and composition operator theory on function spaces. This book focuses on a systematic survey and detailed treatment of linearization models for one-parameter semigroups, Schröder’s and Abel’s functional equations, and various classes of univalent functions which serve as intertwining mappings for nonlinear and linear semigroups. These topics are applicable to the study of problems in complex analysis, stochastic and evolution processes and approximation theory.

Linearization Models for Complex Dynamical Systems

Linearization Models for Complex Dynamical Systems PDF Author: Mark Elin
Publisher: Springer Science & Business Media
ISBN: 3034605099
Category : Mathematics
Languages : en
Pages : 271

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Book Description
Linearization models for discrete and continuous time dynamical systems are the driving forces for modern geometric function theory and composition operator theory on function spaces. This book focuses on a systematic survey and detailed treatment of linearization models for one-parameter semigroups, Schröder’s and Abel’s functional equations, and various classes of univalent functions which serve as intertwining mappings for nonlinear and linear semigroups. These topics are applicable to the study of problems in complex analysis, stochastic and evolution processes and approximation theory.

Model Reduction of Complex Dynamical Systems

Model Reduction of Complex Dynamical Systems PDF Author: Peter Benner
Publisher: Springer Nature
ISBN: 3030729834
Category : Mathematics
Languages : en
Pages : 415

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Book Description
This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems – MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories: system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods; data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; and model order reduction software packages and benchmarks. This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics.

Linearization Methods for Stochastic Dynamic Systems

Linearization Methods for Stochastic Dynamic Systems PDF Author: Leslaw Socha
Publisher: Springer Science & Business Media
ISBN: 3540729968
Category : Technology & Engineering
Languages : en
Pages : 392

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Book Description
For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. This book details the relatively simple and popular linearization techniques available, covering theory as well as application. It examines models with continuous external and parametric excitations, those that cover the majority of known approaches.

Nonlinear Dynamical Systems And Carleman Linearization

Nonlinear Dynamical Systems And Carleman Linearization PDF Author: Krzysztof Kowalski
Publisher: World Scientific
ISBN: 9814506346
Category : Mathematics
Languages : en
Pages : 192

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Book Description
The Carleman linearization has become a new powerful tool in the study of nonlinear dynamical systems. Nevertheless, there is the general lack of familiarity with the Carleman embedding technique among those working in the field of nonlinear models. This book provides a systematic presentation of the Carleman linearization, its generalizations and applications. It also includes a review of existing alternative methods for linearization of nonlinear dynamical systems. There are probably no books covering such a wide spectrum of linearization algorithms. This book also gives a comprehensive introduction to the Kronecker product of matrices, whereas most books deal with it only superficially. The Kronecker product of matrices plays an important role in mathematics and in applications found in theoretical physics.

Linearization Methods for Stochastic Dynamic Systems

Linearization Methods for Stochastic Dynamic Systems PDF Author: Leslaw Socha
Publisher: Springer
ISBN: 9783540839385
Category : Technology & Engineering
Languages : en
Pages : 383

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Book Description
For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. This book details the relatively simple and popular linearization techniques available, covering theory as well as application. It examines models with continuous external and parametric excitations, those that cover the majority of known approaches.

Approximation of Large-Scale Dynamical Systems

Approximation of Large-Scale Dynamical Systems PDF Author: Athanasios C. Antoulas
Publisher: SIAM
ISBN: 0898716586
Category : Mathematics
Languages : en
Pages : 489

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Book Description
Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications.

Complex Analysis and Dynamical Systems

Complex Analysis and Dynamical Systems PDF Author: Mark Agranovsky
Publisher: Birkhäuser
ISBN: 3319701541
Category : Mathematics
Languages : en
Pages : 373

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Book Description
This book focuses on developments in complex dynamical systems and geometric function theory over the past decade, showing strong links with other areas of mathematics and the natural sciences. Traditional methods and approaches surface in physics and in the life and engineering sciences with increasing frequency – the Schramm‐Loewner evolution, Laplacian growth, and quadratic differentials are just a few typical examples. This book provides a representative overview of these processes and collects open problems in the various areas, while at the same time showing where and how each particular topic evolves. This volume is dedicated to the memory of Alexander Vasiliev.

Linearization Methods for Stochastic Dynamic Systems

Linearization Methods for Stochastic Dynamic Systems PDF Author: Lesław Socha
Publisher:
ISBN: 9788354072997
Category : Mathematical physics
Languages : en
Pages : 0

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Book Description
For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization methods available. The scope is limited to models with continous external and parametric excitations, yet these cover the majority of known approaches. The book contains an application chapter with emphasis on vibration analysis of stochastic mechanical structures as well as a chapter devoted to the assessment of the accuracy of the theoretical methods presented, both with respect to numerical and to experimental studies. The material derives partly from graduate course notes developed by the author for courses and seminars over the past 20 years.

Linear Dynamical Systems

Linear Dynamical Systems PDF Author: Mircea D. Grigoriu
Publisher: Springer Nature
ISBN: 3030645525
Category : Science
Languages : en
Pages : 155

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Book Description
This textbook provides a concise, clear, and rigorous presentation of the dynamics of linear systems that delivers the necessary tools for the analysis and design of mechanical/ structural systems, regardless of their complexity. The book is written for senior undergraduate and first year graduate students as well as engineers working on the design of mechanical/structural systems subjected to dynamic actions, such as wind/earthquake engineers and mechanical engineers working on wind turbines. Professor Grigoriu's lucid presentation maximizes student understanding of the formulation and the solution of linear systems subjected to dynamic actions, and provides a clear distinction between problems of practical interest and their special cases. Based on the author's lecture notes from courses taught at Cornell University, the material is class-tested over many years and ideal as a core text for a range of classes in mechanical, civil, and geotechnical engineering, as well as for self-directed learning by practitioners in the field.