Holger Scheu

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A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark 6 Abstract Recently, there has been a renewed interest in the development of distributed model predictive control (MPC) techniques capable of inheriting the properties(More)
— We transfer the ideas behind sensitivity-driven distributed model predictive control (c.f. Scheu and Mar-quardt, 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(More)
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark, " Abstract Recently, there has been a renewed interest in the development of distributed model predictive control (MPC) techniques capable of inheriting the properties of centralized predictive controllers, such as constraint satisfaction, optimal control,(More)
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