Dariusz Ucinski

Optimal Measurement Methods for Distributed Parameter System Identification

• Broschiertes Buch

Produktbeschreibung

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® 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.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 392
• Erscheinungstermin: 19. September 2019
• Englisch
• Abmessung: 231mm x 155mm x 23mm
• Gewicht: 386g
• ISBN-13: 9780367393984
• ISBN-10: 0367393980
• Artikelnr.: 57816301

Autorenporträt

Ucinski, Dariusz

Inhaltsangabe

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