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Distributed Parameter Systems: Theory and Applications
     

Distributed Parameter Systems: Theory and Applications

by Sigeru Omatu, John H. Seinfeld
 

In this unified account of the mathematical theory of distributed parameter systems (DPS), the authors cover all major aspects of the control, estimation, and identification of such systems, and their application in engineering problems. The first part of the book is devoted to the basic results in deterministic and stochastic partial differential equations, which

Overview

In this unified account of the mathematical theory of distributed parameter systems (DPS), the authors cover all major aspects of the control, estimation, and identification of such systems, and their application in engineering problems. The first part of the book is devoted to the basic results in deterministic and stochastic partial differential equations, which are applied to the optimal control and estimation theories for DPS. Part two then applies this knowledge in an engineering setting, discussing optimal estimators, optimal sensor and actuator locations, and computational techniques.

Editorial Reviews

Booknews
A unified account of the mathematical theory of distributed parameter systems (DPS). The authors cover all major aspects of the control, estimation, and identification of such systems, and their application in engineering problems. They deal with the basic results in deterministic and stochastic partial differential equations, which are applied to the optimal control and estimation theories for DPS, and then apply this knowledge in an engineering setting, discussing optimal estimators, optimal sensor and actuator locations, and computational techniques. The abundant formulae are elegantly typeset. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780198532958
Publisher:
Oxford University Press, USA
Publication date:
09/01/1989
Series:
Oxford Mathematical Monographs Series
Pages:
448
Product dimensions:
6.38(w) x 9.50(h) x 1.19(d)

Meet the Author

University of Tokushima

California Institute of Technology

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