Regularized robust estimators for time varying uncertain discrete-time systems

Abstract This paper addresses the issue of robust filtering for time varying uncertain discrete time systems. The proposed robust filters are based on a regularized least-squares formulation and guarantee minimum state error variances. Simulation results indicate their superior performance Over other robust filter designs.

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