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{ "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/36/739/398/0367393980_b.jpg", "price_data" : { "retail_price" : "98.99", "online_price" : "98.99", "our_price" : "98.99", "club_price" : "98.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimal Measurement Methods for Distributed Parameter System Identification|Dariusz Ucinski

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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