Modeling, Design, and Simulation of Systems with Uncertainties (eBook)
XX, 356 Seiten
Springer Berlin (Verlag)
978-3-642-15956-5 (ISBN)
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.
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.
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.
Part 1: Theoretic Background and Software Implementation1. Nedialko S. Nedialkov:Implementing a Rigorous ODE Solver through Literate Programming2. Sergey P. Shary:Inner Interval Estimation of the Solution Sets to Interval Linear Systems3. Andreas Rauh, Harald Aschemann:Structural Analysis for the Design of Reliable Controllers and State Estimators for Uncertain Dynamical Systems4. Matthias Althoff, Bruce H. Krogh, Olaf Stursberg:Analyzing Reachability of Dynamic Systems with Parametric Uncertainties5. Marco Kletting, Felix Antritter:Verified Simulation for Robustness Evaluation of Tracking Controllers6. Luc Jaulin:Probabilistic Set-Membership State Estimator7. Michel Kieffer, Mihaly Csaba Markot, Hermann Schichl, Eric Walter:Verified Global Optimization for Estimating the Parameters of Nonlinear Models8. Daria Filatova, Marek Grzywaczewski:Optimal Control of Induction Heating: Theory and Application9. Serena Doria:Coherent Upper and Lower Conditional Previsions Defined by Hausdorff Outer and Inner Measures Part 2: Applications: Uncertainties in Engineering 10. Marco Kletting, Michel Kieffer, Eric Walter: Two Approaches for Guaranteed State Estimation of Nonlinear Continuous-Time Models11. Mehrdad Moshir:Quantifying Spacecraft Failure in an Uncertain Environment: The Case of the Jupiter Europa Orbiter12. Denis Efimov, Tarek Raissi, Ali Zolghadri:Robust State and Parameter Estimation for Nonlinear Continuous-Time Systems in a Set-Membership Context13. Neli Dimitrova, Mikhail Krastanov:Nonlinear Adaptive Control of a Bioprocess Model with Unknown Kinetics14. Ekaterina Auer, Haider Albassam, Andres Kecskemethy, Wolfram Luther:Verified Analysis of a Model for Stance Stabilization15. Vasily Saurin, Georgy Kostin, Andreas Rauh, Harald Aschemann:Adaptive Control Strategies in Heat Transfer Problems with Parameter Uncertainties Based on a Projective Approach16. Harald Aschemann, Dominik Schindele, Jöran Ritzke:State and Disturbance Estimation for Robust Control of Fast Flexible Rack Feeders
| Erscheint lt. Verlag | 6.6.2011 |
|---|---|
| Reihe/Serie | Mathematical Engineering |
| Zusatzinfo | XX, 356 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Aleatory uncertainties • Epistemological uncertainties • Interval methods • Verified system design |
| ISBN-10 | 3-642-15956-7 / 3642159567 |
| ISBN-13 | 978-3-642-15956-5 / 9783642159565 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 9,4 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
