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Updated: Oct 12, 2025

A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
Set-membership-based distributed moving horizon estimation of large-scale systems
Pablo Segovia1, Vicenç Puig2, Eric Duviella3
1Department of Maritime and Transport Technology, Delft University of Technology, Delft, The Netherlands.
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.
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