Moving horizon estimation based on distributionally robust optimisation
type: Item
instance of: scholarly article
title: Moving horizon estimation based on distributionally robust optimisation
zbMATH Open document ID: 1544.93798
DOI: 10.1080/00207721.2024.2305691
author: Aolei Yang
author: Q6499115
author: Qing Sun
author: Minrui Fei
published in: International Journal of Systems Science. Principles and Applications of Systems and Integration
publication date: 2024-06-18T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 7866933
MaRDI profile type: Publication
cites work: Q3182207
cites work: On a Formula for the L2 Wasserstein Metric between Measures on Euclidean and Hilbert Spaces
cites work: Robust Stability of Moving Horizon Estimation Under Bounded Disturbances
cites work: Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
cites work: Nonlinear moving horizon estimation in the presence of bounded disturbances
cites work: Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization
cites work: Constrained linear state estimation -- a moving horizon approach
cites work: Stochastically resilient extended Kalman filtering for discrete-time nonlinear systems with sensor failures
cites work: Variance-constrained filtering for uncertain stochastic systems with missing measurements
cites work: Distributionally Robust Convex Optimization
cites work: Data-driven risk-averse stochastic optimization with Wasserstein metric
description: scientific article; zbMATH DE number 7866933