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.

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