Optimal measurement methods for distributed parameter system identification
著者
書誌事項
Optimal measurement methods for distributed parameter system identification
（Systems and control series）
CRC Press, c2005
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. 339-365) and index
内容説明・目次
内容説明
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.
目次
Preface, 1 Introduction, 2 Key ideas of identification and experimental design, 3 Locally optimal designs for stationary sensors, 4 Locally optimal strategies for scanning and moving observations, 5 Measurement strategies with alternative design objectives, 6 Robust designs for sensor location, 7 Towards even more challenging problems, 8 Applications from engineering, Appendices, References, Index
「Nielsen BookData」 より