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Dynamical Model and Optimal Control, Sandro Salsa, Annamaria Squellati


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Автор: Sandro Salsa, Annamaria Squellati
Название:  Dynamical Model and Optimal Control
ISBN: 9788885486522
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 8885486525
Обложка/Формат: Paperback
Страницы: 340
Вес: 0.59 кг.
Дата издания: 30.07.2018
Серия: Mathematics
Язык: English
Размер: 239 x 168 x 20
Читательская аудитория: Professional and scholarly
Ключевые слова: Calculus & mathematical analysis,Optimization
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Поставляется из: Англии
Описание: This book is designed as an advanced undergraduate or a first-year graduate course for students from various disciplines and in particular from Economics and Social Sciences. The first part develops the fundamental aspects of mathematical modeling. The second part introduces the basic concepts and techniques of Dynamic Optimization.

Practical Methods for Optimal Control and Estimation Using Nonlinear Programming

Автор: Betts Jonn T.
Название: Practical Methods for Optimal Control and Estimation Using Nonlinear Programming
ISBN: 0898716888 ISBN-13(EAN): 9780898716887
Издательство: Mare Nostrum (Eurospan)
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Цена: 88610.00 T
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Описание: This second edition of the popular text by John Betts incorporates lots of new material while maintaining the concise and focused presentation of the original edition. The book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book. The relevant background in nonlinear programming methods that exploit sparse matrix technology is presented, along with description of discretization techniques for solving differential-algebraic equations. It will appeal to users of optimal control working in fields such as the aerospace industry, chemical process control, mathematical biology, robotics and multibody simulation, and engineering. It is also suitable for graduate courses on optimal control methods. The SOCS software referenced within the book can be licensed from Boeing by readers interested in receiving the code and training materials for further investigation.

Differential Equations, Dynamical Systems, and an Introduction to Chaos

Автор: Morris W. Hirsch
Название: Differential Equations, Dynamical Systems, and an Introduction to Chaos
ISBN: 0123820103 ISBN-13(EAN): 9780123820105
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: Suitable for students in the fields of mathematics, science, and engineering, this title provides a theoretical approach to dynamical systems and chaos. It helps them to analyze the types of differential equations that arise in their area of study.

Stability Regions of Nonlinear Dynamical Systems

Автор: Chiang
Название: Stability Regions of Nonlinear Dynamical Systems
ISBN: 1107035406 ISBN-13(EAN): 9781107035409
Издательство: Cambridge Academ
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Цена: 163680.00 T
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Описание: In this comprehensive and authoritative work, leading researchers describe theory and optimal estimation, propose new concepts, and detail relevant practical applications. This is the first book on the subject, and it is an invaluable resource for academics, researchers and professional engineers.

Analysis and Control of Complex Dynamical Systems

Автор: Kazuyuki Aihara; Jun-ichi Imura; Tetsushi Ueta
Название: Analysis and Control of Complex Dynamical Systems
ISBN: 4431550127 ISBN-13(EAN): 9784431550129
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book is the first to report on theoretical breakthroughs on control of complex dynamical systems developed by collaborative researchers in the two fields of dynamical systems theory and control theory.

Estimation and Control of Dynamical Systems

Автор: Bensoussan
Название: Estimation and Control of Dynamical Systems
ISBN: 3319754556 ISBN-13(EAN): 9783319754550
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control. Many aspects which are not easily found in a single text are provided, such as connections between control theory and mathematical finance, as well as differential games.

The book is self-contained and prioritizes concepts rather than full rigor, targeting scientists who want to use control theory in their research in applied mathematics, engineering, economics, and management science. Examples and exercises are included throughout, which will be useful for PhD courses and graduate courses in general.
Dr. Alain Bensoussan is Lars Magnus Ericsson Chair at UT Dallas and Director of the International Center for Decision and Risk Analysis which develops risk management research as it pertains to large-investment industrial projects that involve new technologies, applications and markets. He is also Chair Professor at City University Hong Kong.

Global Attractors Of Non-Autonomous Dynamical And Control Systems (2Nd Edition)

Автор: Cheban David N
Название: Global Attractors Of Non-Autonomous Dynamical And Control Systems (2Nd Edition)
ISBN: 9814619825 ISBN-13(EAN): 9789814619820
Издательство: World Scientific Publishing
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Цена: 205920.00 T
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Описание: The study of attractors of dynamical systems occupies an important position in the modern qualitative theory of differential equations.

Optimal Trajectory Tracking of Nonlinear Dynamical Systems

Автор: Jakob L?ber
Название: Optimal Trajectory Tracking of Nonlinear Dynamical Systems
ISBN: 3319465732 ISBN-13(EAN): 9783319465739
Издательство: Springer
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Цена: 111790.00 T
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Описание: By establishing an alternative foundation of control theory, this thesis represents a significant advance in the theory of control systems, of interest to a broad range of scientists and engineers. While common control strategies for dynamical systems center on the system state as the object to be controlled, the approach developed here focuses on the state trajectory. The concept of precisely realizable trajectories identifies those trajectories that can be accurately achieved by applying appropriate control signals. The resulting simple expressions for the control signal lend themselves to immediate application in science and technology. The approach permits the generalization of many well-known results from the control theory of linear systems, e.g. the Kalman rank condition to nonlinear systems. The relationship between controllability, optimal control and trajectory tracking are clarified. Furthermore, the existence of linear structures underlying nonlinear optimal control is revealed, enabling the derivation of exact analytical solutions to an entire class of nonlinear optimal trajectory tracking problems. The clear and self-contained presentation focuses on a general and mathematically rigorous analysis of controlled dynamical systems. The concepts developed are visualized with the help of particular dynamical systems motivated by physics and chemistry.

Advances in Dynamical Systems and Control

Автор: Sadovnichiy
Название: Advances in Dynamical Systems and Control
ISBN: 3319406728 ISBN-13(EAN): 9783319406725
Издательство: Springer
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Цена: 139310.00 T
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Описание:

Focused on recent advances, this book covers theoretical foundations as well as various applications. It presents modern mathematical modeling approaches to the qualitative and numerical analysis of solutions for complex engineering problems in physics, mechanics, biochemistry, geophysics, biology and climatology. Contributions by an international team of respected authors bridge the gap between abstract mathematical approaches, such as applied methods of modern analysis, algebra, fundamental and computational mechanics, nonautonomous and stochastic dynamical systems on the one hand, and practical applications in nonlinear mechanics, optimization, decision making theory and control theory on the other. As such, the book will be of interest to mathematicians and engineers working at the interface of these fields.

An introduction to optimal estimation of dynamical systems

Автор: J.L. Junkins
Название: An introduction to optimal estimation of dynamical systems
ISBN: 9400999224 ISBN-13(EAN): 9789400999220
Издательство: Springer
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Цена: 95770.00 T
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Nonlinear Dynamical Control Systems

Автор: Henk Nijmeijer; Arjan van der Schaft
Название: Nonlinear Dynamical Control Systems
ISBN: 1441930914 ISBN-13(EAN): 9781441930910
Издательство: Springer
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Цена: 87060.00 T
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Описание: This volume deals with controllability and observability properties of nonlinear systems, as well as various ways to obtain input-output representations. The emphasis is on fundamental notions as (controlled) invariant distributions and submanifolds, together with algorithms to compute the required feedbacks.

Soft Computing for Control of Non-Linear Dynamical Systems

Автор: Oscar Castillo; Patricia Melin
Название: Soft Computing for Control of Non-Linear Dynamical Systems
ISBN: 3662003678 ISBN-13(EAN): 9783662003671
Издательство: Springer
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Цена: 46570.00 T
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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Автор: Steven L. Brunton, J. Nathan Kutz
Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
ISBN: 1108422098 ISBN-13(EAN): 9781108422093
Издательство: Amazon Internet
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Цена: 0.00 T
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Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.


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