Design of distributed robust fusion filters for a class of discrete uncertain systems

In terms of parameter-dependent Lyapunov function,the design problems of robust fusion filters for a class of multi-sensor uncertain systems were dealt with,by means of combining robust filter theory and data fusion technology.On the basis of the design method of the centralized fusion,distributed robust fusion filter was discussed,moreover,the performance of the new filter was illustrated by the simulation.The results show that by using the distributed weight fusion method,it does not only have a better robust performance and lower computational complexity for resolving the filter problems when parameter uncertainties exist in the system model,but also have more flexibility to satisfy the design requirements of the robust fusion filters for multi-sensor systems with different precisions.