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Blind Identification of Structured Dynamic Systems: A Deterministic Perspective, Yu Chengpu, Xie Lihua, Verhaegen Michel


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Автор: Yu Chengpu, Xie Lihua, Verhaegen Michel
Название:  Blind Identification of Structured Dynamic Systems: A Deterministic Perspective
ISBN: 9789811675737
Издательство: Springer
Классификация:




ISBN-10: 9811675732
Обложка/Формат: Hardcover
Страницы: 284
Вес: 0.58 кг.
Дата издания: 24.12.2021
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 40 illustrations, color; 6 illustrations, black and white; xv, 266 p. 46 illus., 40 illus. in color.
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A deterministic perspective
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas/insights for dealing with challenging system identification problems.


Deterministic Identification of Dynamical Systems

Автор: Christiaan Heij
Название: Deterministic Identification of Dynamical Systems
ISBN: 354051323X ISBN-13(EAN): 9783540513230
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In deterministic identification the identified system is determined on the basis of a complexity measure of models and a misfit measure of models with respect to data. For the case of exact modelling a procedure is presented which is inspired by objectives of simplicity and corroboration.

Modern Trends in Structural and Solid Mechanics 3: Non-Deterministic Mechanics

Автор: Kaplunov Julius, Takewaki Izuru, Challamel Noel
Название: Modern Trends in Structural and Solid Mechanics 3: Non-Deterministic Mechanics
ISBN: 1786307189 ISBN-13(EAN): 9781786307187
Издательство: Wiley
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Цена: 21851.00 р.
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Описание: This book - comprised of three separate volumes - presents the recent developments and research discoveries in structural and solid mechanics; it is dedicated to Professor Isaac Elishakoff. This third volume is devoted to non-deterministic mechanics.

Modern Trends in Structural and Solid Mechanics 3 has broad scope, covering topics such: design optimization under uncertainty, interval field approaches, convex analysis, quantum inspired topology optimization and stochastic dynamics. The book is illustrated by many applications in the field of aerospace engineering, mechanical engineering, civil engineering, biomedical engineering and automotive engineering.

This book is intended for graduate students and researchers in the field of theoretical and applied mechanics.

Mathematical Modeling of Random and Deterministic Phenomena

Автор: Solym Mawaki Manou–Abi, Sophie Dabo–Niang, Jean–Ja
Название: Mathematical Modeling of Random and Deterministic Phenomena
ISBN: 1786304546 ISBN-13(EAN): 9781786304544
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social perspectives.

The chapters can be read independently of each other, with dedicated references specific to each chapter. The book is organized in two main parts. The first is devoted to some advanced mathematical problems regarding epidemic models; predictions of biomass; space-time modeling of extreme rainfall; modeling with the piecewise deterministic Markov process; optimal control problems; evolution equations in a periodic environment; and the analysis of the heat equation. The second is devoted to a modelization with interdisciplinarity in ecological, socio-economic, epistemological, demographic and social problems.

Mathematical Modeling of Random and Deterministic Phenomena is aimed at expert readers, young researchers, plus graduate and advanced undergraduate students who are interested in probability, statistics, modeling and mathematical analysis.

Essays in Innovative Risk Management Methods: Based on Deterministic, Stochastic and Quantum Approaches

Автор: Desogus Marco, Casu Elisa
Название: Essays in Innovative Risk Management Methods: Based on Deterministic, Stochastic and Quantum Approaches
ISBN: 1681144522 ISBN-13(EAN): 9781681144528
Издательство: Неизвестно
Цена: 4138.00 р.
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Deterministic Numerical Methods For Unstructured-Mesh Neutron Transport Calculation

Автор: Cao, Liangzhi
Название: Deterministic Numerical Methods For Unstructured-Mesh Neutron Transport Calculation
ISBN: 0128182210 ISBN-13(EAN): 9780128182215
Издательство: Elsevier Science
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Цена: 31160.00 р.
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Описание:

Deterministic Numerical Methods for Unstructured-Mesh Neutron Transport Calculation presents the latest deterministic numerical methods for neutron transport equations (NTEs) with complex geometry, which are of great demand in recent years due to the rapid development of advanced nuclear reactor concepts and high-performance computational technologies. This book covers the wellknown methods proposed and used in recent years, not only theoretical modeling but also numerical results.

This book provides readers with a very thorough understanding of unstructured neutron transport calculations and enables them to develop their own computational codes. The fundamentals, numerical discretization methods, algorithms, and numerical results are discussed. Researchers and engineers from utilities and research institutes are provided with examples on how to model an advanced nuclear reactor, which they can then apply to their own research projects and lab settings.

Deterministic and Stochastic Time-Delay Systems

Автор: El-Kebir Boukas; Zi-Kuan Liu
Название: Deterministic and Stochastic Time-Delay Systems
ISBN: 1461266025 ISBN-13(EAN): 9781461266020
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Most practical processes such as chemical reactor, industrial furnace, heat exchanger, etc., are nonlinear stochastic systems, which makes their con- trol in general a hard problem.

Deterministic Nonlinear Systems

Автор: Vadim S. Anishchenko; Tatyana E. Vadivasova; Galin
Название: Deterministic Nonlinear Systems
ISBN: 331937852X ISBN-13(EAN): 9783319378527
Издательство: Springer
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Цена: 9794.00 р.
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Deterministic Chaos In One Dimensional Continuous Systems

Автор: Awrejcewicz Jan Et Al
Название: Deterministic Chaos In One Dimensional Continuous Systems
ISBN: 9814719692 ISBN-13(EAN): 9789814719698
Издательство: World Scientific Publishing
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Цена: 28512.00 р.
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Описание: This book focuses on the computational analysis of nonlinear vibrations of structural members (beams, plates, panels, shells), where the studied dynamical problems can be reduced to the consideration of one spatial variable and time.

Invariance Entropy for Deterministic Control Systems

Автор: Christoph Kawan
Название: Invariance Entropy for Deterministic Control Systems
ISBN: 3319012878 ISBN-13(EAN): 9783319012872
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This monograph provides an introduction to the concept of invariance entropy, the central motivation of which lies in the need to deal with communication constraints in networked control systems.

Iterative Learning Control for Deterministic Systems

Автор: Kevin L. Moore
Название: Iterative Learning Control for Deterministic Systems
ISBN: 1447119142 ISBN-13(EAN): 9781447119142
Издательство: Springer
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Цена: 13060.00 р.
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Описание: The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem.

Theory of Hybrid Systems: Deterministic and Stochastic

Автор: Mohamad S. Alwan; Xinzhi Liu
Название: Theory of Hybrid Systems: Deterministic and Stochastic
ISBN: 9811080453 ISBN-13(EAN): 9789811080456
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book is the first to present the application of the hybrid system theory to systems with EPCA (equations with piecewise continuous arguments). The hybrid system paradigm is a valuable modeling tool for describing a wide range of real-world applications. Moreover, although new technology has produced, and continues to produce highly hierarchical sophisticated machinery that cannot be analyzed as a whole system, hybrid system representation can be used to reduce the structural complexity of these systems. That is to say, hybrid systems have become a modeling priority, which in turn has led to the creation of a promising research field with several application areas. As such, the book explores recent developments in the area of deterministic and stochastic hybrid systems using the Lyapunov and Razumikhin–Lyapunov methods to investigate the systems’ properties. It also describes properties such as stability, stabilization, reliable control, H-infinity optimal control, input-to-state stability (ISS)/stabilization, state estimation, and large-scale singularly perturbed systems.

Information Loss in Deterministic Signal Processing Systems

Автор: Bernhard C. Geiger; Gernot Kubin
Название: Information Loss in Deterministic Signal Processing Systems
ISBN: 3319866451 ISBN-13(EAN): 9783319866451
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book introduces readers to essential tools for the measurement and analysis of information loss in signal processing systems. Employing a new information-theoretic systems theory, the book analyzes various systems in the signal processing engineer’s toolbox: polynomials, quantizers, rectifiers, linear filters with and without quantization effects, principal components analysis, multirate systems, etc. The user benefit of signal processing is further highlighted with the concept of relevant information loss. Signal or data processing operates on the physical representation of information so that users can easily access and extract that information. However, a fundamental theorem in information theory—data processing inequality—states that deterministic processing always involves information loss. 

These measures form the basis of a new information-theoretic systems theory, which complements the currently prevailing approaches based on second-order
statistics, such as the mean-squared error or error energy. This theory not only provides a deeper understanding but also extends the design space for the applied engineer with a wide range of methods rooted in information theory, adding to existing methods based on energy or quadratic representations.

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