{
"item_title" : "Optimal Measurement Methods for Distributed Parameter System Identification",
"item_author" : [" Dariusz Ucinski "],
"item_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. This book discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions. It also presents results that translate easily to MATLAB(R) and to MAPLE. This is a superb resource for researchers and practitioners in the fields of applied mathematics and electrical, civil, geotechnical, mechanical, chemical, and environmental engineering.",
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Optimal Measurement Methods for Distributed Parameter System Identification
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Overview
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. This book discusses the characteristic features of the sensor placement problem, analyzes classical and recent approaches, and proposes a wide range of original solutions. It also presents results that translate easily to MATLAB(R) and to MAPLE. This is a superb resource for researchers and practitioners in the fields of applied mathematics and electrical, civil, geotechnical, mechanical, chemical, and environmental engineering.
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Details
- ISBN-13: 9780367393984
- ISBN-10: 0367393980
- Publisher: CRC Press
- Publish Date: September 2019
- Dimensions: 9.1 x 6.1 x 0.9 inches
- Shipping Weight: 0.85 pounds
- Page Count: 392
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