Least-mean-square receding horizon estimation

DOI10.1155/2012/631759zbMath1264.93237OpenAlexW1985080469WikidataQ58912344 ScholiaQ58912344MaRDI QIDQ1955016

Soo Hee Han, Bo Kyu Kwon

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/631759

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Related Items (1)

Receding horizon least squares estimator with application to estimation of process and measurement noise covariances

Cites Work

• Unnamed Item
• Robust \(H_\infty \) finite-horizon filtering with randomly occurred nonlinearities and quantization effects
• Minimax FIR smoothers for deterministic continuous-time state space models
• Robust receding-horizon state estimation for uncertain discrete-time linear systems
• On optimal stochastic midcourse guidance
• Fixed memory least squares filtering (Corresp.)
• A modified quadratic cost problem and feedback stabilization of a linear system
• The stability of constrained receding horizon control
• Stabilizing receding-horizon control of nonlinear time-varying systems
• Receding horizon recursive state estimation
• A receding horizon Kalman FIR filter for discrete time-invariant systems
• Fixed-memory recursive filters (Corresp.)
• On Nonlinear $H_{\infty }$ Filtering for Discrete-Time Stochastic Systems With Missing Measurements
• Minimum-Distance Receding-Horizon State Estimation for Switching Discrete-Time Linear Systems
• $L_{2}-E$ FIR Smoothers for Deterministic Discrete-Time State–Space Signal Models
• A receding horizon unbiased FIR for discrete-time state space models

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