Optimal location of measurements for distributed parameter estimation

作者: S. Kumar , J. Seinfeld

DOI: 10.1109/TAC.1978.1101803

关键词:

摘要: The problem of optimal measurement locations for state estimation in linear distributed parameter systems is considered. It has previously been shown that the sensor location can be posed as an control a system described by infinite-dimensional matrix Riccati equation filter covariance. A more efficient approach based on upper bound covariance developed present study. relationship between and minimizing measure studied. detailed example considered, results two approaches are compared.

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