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£170.00

CRC Press Optimal Measurement Methods for Distributed Parameter System Identification (Systems and Control)

Name: Optimal Measurement Methods for Distributed Parameter System Identification (Systems and Control)
Brand: CRC Press
Price: 170.0 GBP
Availability: InStock

Power Generation & Distribution

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Description

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.

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 0849323134
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electrical > Power Generation & Distribution
Domain: Amazon UK
Release Date: 27 August 2004
Listed Since: 05 February 2007

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CRC Press Optimal Measurement Methods for Distributed Parameter System Identification (Systems and Control)

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