Modeling, Design, and Simulation of Systems With Uncertainties

Rauh, Andreas (EDT)/ Auer, Ekaterina (EDT)

Editore: Springer Verlag, 2011
ISBN 10: 3642159559 / ISBN 13: 9783642159558
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To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments.

The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation.

Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

About the Author:

Andreas Rauh

received his diploma degree in electrical engineering and information technology from the Technische Universität München, Munich, Germany, in 2001 and his PhD degree (Dr.-Ing.) from the University of Ulm, Germany, in 2008. His research interests are: State and parameter estimation for stochastic and set-valued uncertainties, verified simulation of nonlinear uncertain systems, nonlinear, robust, and optimal control, interval methods for ordinary differential equations as well as differential-algebraic systems. Currently, he is with the Chair of Mechatronics, University of Rostock, Germany, as post-doctoral researcher.

Ekaterina Auer

received her Diplomas in Mathematics and Computer Science from Ulyanovsk State University in 2001 and from the University of Duisburg-Essen in 2002. Since 2002, she has been working at the chair for computer graphics and scientific computing at the University of Duisburg-Essen as a research assistant, receiving her Ph.D. in 2006. Her main interests are scientific computing **and development of software for its application to problems in mechanics and engineering.

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Dati bibliografici

Titolo: Modeling, Design, and Simulation of Systems ...
Casa editrice: Springer Verlag
Data di pubblicazione: 2011
Legatura: Hardcover
Condizione libro: New

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Descrizione libro Springer, 2011. Gebundene Ausgabe. Condizione libro: Gebraucht. Gebraucht - Wie neu Leichte Lagerspuren - To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about parts of a process or from the impossibility to characterize it with absolute certainty. 356 pp. Englisch. Codice libro della libreria INF1000936804

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Descrizione libro Berlin, Springer, 2011., 2011. Mathematical Engineering. XX, 354 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Codice libro della libreria 3837JB

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Descrizione libro Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 2011. HRD. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria IP-9783642159558

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Descrizione libro Springer-Verlag Gmbh Jun 2011, 2011. Buch. Condizione libro: Neu. Neuware - To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about parts of a process or from the impossibility to characterize it with absolute certainty.Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models. A stochastic uncertainty can be characterized in form of a certain distribution described, for example, by mean values, standard deviations and higher-order moments. For both bounded and stochastic uncertainties, there exist observer tools applicable offline as well as online. The contributions to this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties belong roughly to the three following groups. First, we present works highlighting the theoretic background and current research on basic algorithmic approaches in the field of uncertainty handling. The second group concerns real-life application scenarios from various areas including but not limited to mechatronics, robotics, and (bio-)medical engineering. The Special Volume is concluded by works dealing with new approaches for reliable software implementation. 354 pp. Englisch. Codice libro della libreria 9783642159558

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Descrizione libro Springer-Verlag Gmbh Jun 2011, 2011. Buch. Condizione libro: Neu. Neuware - To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about parts of a process or from the impossibility to characterize it with absolute certainty.Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models. A stochastic uncertainty can be characterized in form of a certain distribution described, for example, by mean values, standard deviations and higher-order moments. For both bounded and stochastic uncertainties, there exist observer tools applicable offline as well as online. The contributions to this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties belong roughly to the three following groups. First, we present works highlighting the theoretic background and current research on basic algorithmic approaches in the field of uncertainty handling. The second group concerns real-life application scenarios from various areas including but not limited to mechatronics, robotics, and (bio-)medical engineering. The Special Volume is concluded by works dealing with new approaches for reliable software implementation. 354 pp. Englisch. Codice libro della libreria 9783642159558

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Descrizione libro Springer-Verlag Gmbh Jun 2011, 2011. Buch. Condizione libro: Neu. Neuware - To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about parts of a process or from the impossibility to characterize it with absolute certainty.Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models. A stochastic uncertainty can be characterized in form of a certain distribution described, for example, by mean values, standard deviations and higher-order moments. For both bounded and stochastic uncertainties, there exist observer tools applicable offline as well as online. The contributions to this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties belong roughly to the three following groups. First, we present works highlighting the theoretic background and current research on basic algorithmic approaches in the field of uncertainty handling. The second group concerns real-life application scenarios from various areas including but not limited to mechatronics, robotics, and (bio-)medical engineering. The Special Volume is concluded by works dealing with new approaches for reliable software implementation. 354 pp. Englisch. Codice libro della libreria 9783642159558

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