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Control and Optimization with Differential-Algebraic Constraints

TaschenbuchKartoniert, Paperback
356 Seiten
Englisch
Cambridge University Presserschienen am15.11.2012
Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. Readers will find the following features presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments, several state-of-the-art numerical methods, and real-world applications.mehr

Produkt

KlappentextDifferential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. Readers will find the following features presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments, several state-of-the-art numerical methods, and real-world applications.
Details
ISBN/GTIN978-1-61197-224-5
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
FormatTrade Paperback (USA)
Erscheinungsjahr2012
Erscheinungsdatum15.11.2012
Seiten356 Seiten
SpracheEnglisch
MasseBreite 174 mm, Höhe 247 mm, Dicke 16 mm
Gewicht630 g
Artikel-Nr.60024352

Inhalt/Kritik

Inhaltsverzeichnis
* Chapter 1: DAEs, Control, and Optimization* Chapter 2: Regularization of Linear and Nonlinear Descriptor Systems* Chapter 3: Notes on Linearization of DAEs and on Optimization with Differential-Algebraic Constraints* Chapter 4: Spectra and Leading Directions for Linear DAEs* Chapter 5: StratiGraph Tool: Matrix Stratifications in Control Applications* Chapter 6: Descriptor System Techniques in Solving H?/?-Optimal Fault Detection and Isolation Problems* Chapter 7: Normal Forms, High-Gain, and Funnel Control for Linear Differential-Algebraic Systems* Chapter 8: Linear-Quadratic Optimal Control Problems with Switch Points and a Small Parameter* Chapter 9: Mixed-Integer DAE Optimal Control Problems: Necessary Conditions and Bounds* Chapter 10: Optimal Control of a Delay PDE* Chapter 11: Direct Transcription with Moving Finite Elements* Chapter 12: Solving Parameter Estimation Problems with SOCX* Chapter 13: Control of Integrated Chemical Process Systems Using Underlying DAE Models* Chapter 14: DMPC for Building Temperature Regulation* Chapter 15: Dynamic Regularization, Level Set Shape Optimization, and Computed Myography* Chapter 16: The Application of Pontryagin's Minimum Principle for Endpoint Optimization of Batch Processesmehr

Autor

Lorenz T. Biegler is the Bayer Professor of Chemical Engineering at Carnegie Mellon University and a Fellow of the American Institute of Chemical Engineers.
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Biegler, Lorenz T