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Centralized nonlinear fusion filter design problem is to construct an asymptotically stable observer that leads to a stable estimation error process whose L2 gain with respect to disturbance signal is less than a prescribed level for state estimation of the multi-sensor fusion system. This paper tries to resolve the problem in using of Hinfin filtering theory and LMI methods under certain conditions...
Some multi-sensor fusion systems are not asymptotic stable like target tracking system. When using classical H∞ filtering theory to design the fusion filter for these systems, there are no feasible solutions to the problem. Applying Hinfin theory and LMI methods to design the H∞ fusion filter for those kind of fusion systems, in which the process and measurement noise have unknown statistic characteristic...
There are in general two different types of methods to process the measured sensor data for multi-sensor fusion system. The first one is the centralized fusion filter, the other is decentralized fusion filter. Both of them have their own advantages and disadvantages. This paper mainly considers decentralized fusion filtering problems of the multi-sensor fusion system on basis of Hinfin filtering theory,...
This paper considers fusion filtering problems of the multi-sensor data fusion system with state time-delays, in which process and measurement noise have unknown statistic characteristic but bounded power. Applying H∞ theory, an optimal fusion filter is presented based on LMI method for discrete-time fusion system. Finally, the theory developed is demonstrated by an example of multi-sensor fusion...
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