Publication
Set-membership-based distributed moving horizon estimation of large-scale systems
Journal Article (2022)
Journal
ISA Transactions
Pages
402-413
Volume
128
Doc link
https://doi.org/10.1016/j.isatra.2021.10.036
File
Authors
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Segovia Castillo, Pau
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Puig Cayuela, Vicenç
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Duviella, Eric
Abstract
This work is concerned with the design of a two-step distributed state estimation scheme for large-scale systems in the presence of unknown-but-bounded disturbances and noise. The set-membership approach is employed to construct a compact set containing the states consistent with system measurements and bounded noise and disturbances. The tightened feasible region is then provided to a moving horizon estimator that determines the optimal state estimates. Partitioning of the overall problem and coordination of the resulting subproblems are achieved using decomposition of the optimality conditions and community detection. The proposed strategy is tested on a case study based on a reactor–separator system widely used in the literature. Its performance is compared to those of centralized and distributed (without set-membership) implementations, allowing to highlight its effectiveness.
Categories
control theory, optimisation.
Author keywords
Large-scale systems, Distributed state estimation, Moving horizon estimation, Set-membership, Optimality condition decomposition, Community detection
Scientific reference
P. Segovia, V. Puig and E. Duviella. Set-membership-based distributed moving horizon estimation of large-scale systems. ISA Transactions, 128: 402-413, 2022.
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