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Optimal Measurement Methods For Distributed Parameter System Identification (taylor & Francis Systems And Control Book Series.) by Dariusz Uciński is a nonfiction available to read on EtoBox.

What is Optimal Measurement Methods For Distributed Parameter System Identification (taylor & Francis Systems And Control Book Series.) about?

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

Who reads Optimal Measurement Methods For Distributed Parameter System Identification (taylor & Francis Systems And Control Book Series.)?

Author

Dariusz Uciński

Publisher

CRC Press LLC

Published

2004

Language

EN

ISBN

9780203026786

Category

nonfiction

Subjects

Mathematics, Engineering, Science