Optimal Measurement Methods for Distributed Parameter System Identification (Taylor & Francis Systems and Control Book Series.)

Ucinski, Dariusz

ISBN 10: 0849323134 / ISBN 13: 9780849323133

Published by CRC Press, 2005

About this Item

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Bibliographic Details

• Title: Optimal Measurement Methods for Distributed Parameter System Identification (Taylor & Francis Systems and Control Book Series.)
• Publisher: CRC Press
• Publication Date: 2005
• Language: English
• ISBN 10: 0849323134
• ISBN 13: 9780849323133
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Very Good

About this title

Synopsis

For dynamic distributed systems modeled by partial differential equations, existing methods of sensor location in parameter estimation experiments are either limited to one-dimensional spatial domains or require large investments in software systems. With the expense of scanning and moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, culminating in the most comprehensive and timely treatment of the issue available. By presenting a step-by-step guide to theoretical aspects and to practical design methods, this book provides a sound understanding of sensor location techniques. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable. This text also offers results that translate easily to MATLAB and to Maple. Assuming only a basic familiarity with partial differential equations, vector spaces, and probability and statistics, and avoiding too many technicalities, this is a superb resource for researchers and practitioners in the fields of applied mathematics, electrical, civil, geotechnical, mechanical, chemical, and environmental engineering.

About the Author

Ucinski, Dariusz