Distributed state estimation for uncertain linear systems: a regularized least-squares approach
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Publication:2184553
DOI10.1016/j.automatica.2020.109007zbMath1442.93040OpenAlexW3023369351MaRDI QIDQ2184553
Ling Shi, Peihu Duan, Zhi-Sheng Duan, Guan-Rong Chen
Publication date: 29 May 2020
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2020.109007
Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Least squares and related methods for stochastic control systems (93E24)
Related Items (8)
Consensus-based distributed filtering with fusion step analysis ⋮ Linear quadratic optimal consensus of discrete-time multi-agent systems with optimal steady state: a distributed model predictive control approach ⋮ Distributed Kalman filtering for uncertain dynamic systems with state constraints ⋮ Distributed maximum correntropy unscented Kalman filtering with state equality constraints ⋮ Distributed unscented Kalman filtering for nonlinear systems: A mixed event‐triggered strategy ⋮ Consensus optimization approach for distributed Kalman filtering: performance recovery of centralized filtering ⋮ Distributed observer for linear systems with bounded unknown inputs ⋮ Distributed filtering for nonlinear systems under false data injection attack
Uses Software
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