摘要：AbstractIn this paper, we present a novel proximity formulation for moving horizon estimation (MHE) of constrained discrete-time linear systems. The cost function of the moving horizon optimization problem consists of a convex stage cost as well as a quadratic term centered around a pre-estimating observer. We show stability of the resulting estimation error and demonstrate the advantages offered by the proposed scheme by means of a numerical example.
