Robust filtering for discrete-time Markovian jump linear systems via penalty game approach

This paper introduces a robust penalty-game approach to deal with the filtering problem for discrete-time Markovian jump linear systems subject to parametric uncertainties. The optimal and sub-optimal solutions provided are based on recursive Riccati equations which do not depend on any auxiliary parameters to be adjusted. A numerical example is shown to illustrate the effectiveness of this new approach.