Reliable robust minimum variance filtering with sensor failures

Presents a solution to a reliable filtering problem with error variance specifications. A given higher bound of the filtering error variance in the sensor failure cases is guaranteed and the performance in the nominal case is optimized. A new formulation in terms of LMI is adopted without introducing additional conservativeness. An iterative algorithm is given to obtain the solution, which is illustrated by a numerical example