An iterative partition-based moving horizon estimator for large-scale linear systems

Abstract

We transfer the ideas behind sensitivity-driven distributed model predictive control (c.f. Scheu and Marquardt, 2011) to the moving horizon state estimation problem and present a novel decentralized state estimation algorithm, namely, sensitivity-driven partition-based moving horizon estimation (S-PMHE). We discuss convergence and optimality of S-PMHE for… (More)

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