Optimal Measurement Methods for Distributed Parameter System Identification

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.