Anotace:
This paper deals with quantitative data fusion for linear stochastic dynamic systems. The stress is laid on the Millman’s formula which is utilised for combining state estimates that are based on different data sets. Various filtering and smoothing problems are introduced and solved by using the same fusion principle. The optimal centralised multisensor filtering is compared with other filtering architectures by means of a numerical example.