Estimation and Control of Dynamical Systems, Alain Bensoussan

Автор: Wolfgang Desch; Franz Kappel; Karl Kunisch
Название: Control and Estimation of Distributed Parameter Systems: Nonlinear Phenomena
ISBN: 3034896662 ISBN-13(EAN): 9783034896665
Издательство: Springer
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Цена: 46570.00 T
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Описание: 22 papers on control of nonlinear partial differential equations highlight the area from a broad variety of viewpoints. A significant part of the volume is devoted to applications in engineering, continuum mechanics and population biology.

Автор: H.T. Banks
Название: Control and Estimation in Distributed Parameter Systems
ISBN: 0898712971 ISBN-13(EAN): 9780898712971
Издательство: Mare Nostrum (Eurospan)
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Цена: 120390.00 T
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Описание: Research in control and estimation of distributed parameter systems encompasses a wide range of applications including both fundamental science and emerging technologies. These expository papers provide substantial stimulus to both young researchers and experienced investigators in control theory.

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.

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.

Автор: Robinson, Clark
Название: Dynamical Systems: Stability, Symbolic Dynamics, and Chaos ( Studies in Advanced Mathematics #28 )
ISBN: 0849384958 ISBN-13(EAN): 9780849384950
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: Treats the dynamics of both iteration of functions and solutions of ordinary differential equations. This book introduces various concepts for iteration of functions where the geometry is simpler, but results are interpreted for differential equations. It concentrates on properties of the whole system or subsets of the system.

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.

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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Автор: Lin
Название: Estimation and Control for Networked Systems with Packet Losses without Acknowledgement
ISBN: 3319442112 ISBN-13(EAN): 9783319442112
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book discusses recent advances in the estimation and control of networked systems with unacknowledged packet losses: systems usually known as user-datagram-protocol-like. It presents both the optimal and sub-optimal solutions in the form of algorithms, which are designed to be implemented easily by computer routines. It also provides MATLAB® routines for the key algorithms. It shows how these methods and algorithms can solve estimation and control problems effectively, and identifies potential research directions and ideas to help readers grasp the field more easily.The novel auxiliary estimator method, which is able to deal with estimators that consist of exponentially increasing terms, is developed to analyze the stability and convergence of the optimal estimator. The book also explores the structure and solvability of the optimal control, i.e. linear quadratic Gaussian control. It develops various sub-optimal but efficient solutions for estimation and control for industrial and practical applications, and analyzes their stability and performance.This is a valuable resource for researchers studying networked control systems, especially those related to non-TCP-like networks. The practicality of the ideas included makes it useful for engineers working with networked control.

Автор: L. Gerencser; P. E. Caines
Название: Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
ISBN: 3540541330 ISBN-13(EAN): 9783540541332
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems. It provides information on recent research and describes efforts to develop a systematic theory of identification and adaptive control.

Автор: Alessandro Chiuso; Luigi Fortuna; Mattia Frasca; A
Название: Modelling, Estimation and Control of Networked Complex Systems
ISBN: 3642260179 ISBN-13(EAN): 9783642260179
Издательство: Springer
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Цена: 139750.00 T
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Описание: Networked systems have excellent modelling capabilities for complexity. This volume presents practical networked system applications, including agent coordination, synchronization, resource allocation and control over communication networks.

Автор: Wolfgang Desch; Franz Kappel; Karl Kunisch
Название: Control and Estimation of Distributed Parameter Systems
ISBN: 303489399X ISBN-13(EAN): 9783034893992
Издательство: Springer
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Цена: 93160.00 T
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Описание: Consisting of 16 refereed original contributions, this volume presents a diversified collection of recent results in control of distributed parameter systems. Topics addressed include - optimal control in fluid mechanics - numerical methods for optimal control of partial differential equations - modeling and control of shells - level set methods - mesh adaptation for parameter estimation problems - shape optimization Advanced graduate students and researchers will find the book an excellent guide to the forefront of control and estimation of distributed parameter systems.

Автор: W. Desch; F. Kappel; K. Kunisch
Название: Control and Estimation of Distributed Parameter Systems
ISBN: 3034898002 ISBN-13(EAN): 9783034898003
Издательство: Springer
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Цена: 93160.00 T
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Описание: Consisting of 23 refereed contributions, this volume offers a broad and diverse view of current research in control and estimation of partial differential equations. Topics addressed include, but are not limited to - control and stability of hyperbolic systems related to elasticity, linear and nonlinear;