Abstract

Based on the classical control system, the framework of information fusion in stochastic optimal control system and the architecture of multisensor information fusion system are developed. The fusion estimation algorithm for control system is applied to state estimation. A structure of sensor management(SM) method and the design method are developed. The practical example shows the performance of state estimation is improved by applying information fusion. But if the model error is very large, the measurement model of each sensor must be selected rightly to ensure the performance of state estimation.

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