Moving horizon estimation: Open problems, theoretical progress, and new application perspectives

DOI10.1002/acs.3127zbMath1465.93008OpenAlexW3032916906MaRDI QIDQ5000687

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Publication date: 15 July 2021

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.3127

zbMATH Keywords

optimizationmoving-horizon estimationplant monitoring

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Collections of articles of miscellaneous specific interest (00B15) Proceedings, conferences, collections, etc. pertaining to systems and control theory (93-06)

Related Items (3)

The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares ⋮ A variational Bayes moving horizon estimation adaptive filter with guaranteed stability ⋮ Unknown source in spatially distributed systems: identifiability analysis and estimation

Cites Work

• Fast moving horizon state estimation for discrete‐time systems with linear constraints
• A proximity moving horizon estimator for a class of nonlinear systems
• Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation
• Distributed monitoring of the absorption column of a post‐combustion CO₂ capture plant
• Outlier accommodation in moving‐horizon state estimation: A risk‐averse performance‐specified approach
• MAP moving horizon estimation for threshold measurements with application to field monitoring

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