Optimal Measurement Methods for Distributed Parameter System Identification
Seiten
2019
CRC Press (Verlag)
978-0-367-39398-4 (ISBN)
CRC Press (Verlag)
978-0-367-39398-4 (ISBN)
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.
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.
Ucinski, Dariusz
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
| Erscheinungsdatum | 24.09.2019 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Technik ► Bauwesen |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 0-367-39398-0 / 0367393980 |
| ISBN-13 | 978-0-367-39398-4 / 9780367393984 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Grundlagen und Vorgehensweisen
Buch | Softcover (2021)
Springer Fachmedien Wiesbaden GmbH (Verlag)
CHF 53,15
Bemessung von Stahlbauten nach Eurocode mit zahlreichen Beispielen
Buch | Hardcover (2024)
Springer Vieweg (Verlag)
CHF 83,95
Kommentar zu VOB/C ATV DIN 18340, ATV DIN 18299
Buch | Softcover (2024)
DIN Media (Verlag)
CHF 96,55
