Optimal Measurement Methods for Distributed Parameter System Identification

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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.