An Enabling Framework for Master-Worker Applications on the Computational Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Survey A review of methods for input/output selection
Automatica (Journal of IFAC)
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The paper considers the problem of determining optimal sensors locations so as to estimate unknown parameters in a class of distributed parameter systems when the measurement errors are correlated. Given a finite set of possible sensor positions, the problem is formulated as the selection of the gaged sites so as to maximize the log-determinant of the Fisher information matrix associated with the estimated parameters. The search for the optimal solution is performed using a GRASP method combined with a multipoint exchange algorithm. In order to alleviate the problem of excessive computational costs for large-scale problems, a parallel version of the GRASP solver is developed aimed at computations on a Linux cluster of PCs. The resulting numerical scheme is validated on a simulation example.