With reference to a (discrete time) linear system filtering problem, we consider the problem of online deciding at which instant we actually measure and process the output values. We propose a convenient measurement policy, able to sensibly reduce the measurement cost, while keeping the estimate accuracy at satisfactory levels. By some probabilistic arguments we analyse the upper bounds for the measurement and non-measurement time intervals. © 2010 Elsevier Ltd. All rights reserved.
A measurement policy in stochastic linear filtering problems
Papa F
2011
Abstract
With reference to a (discrete time) linear system filtering problem, we consider the problem of online deciding at which instant we actually measure and process the output values. We propose a convenient measurement policy, able to sensibly reduce the measurement cost, while keeping the estimate accuracy at satisfactory levels. By some probabilistic arguments we analyse the upper bounds for the measurement and non-measurement time intervals. © 2010 Elsevier Ltd. All rights reserved.File in questo prodotto:
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