Nuclear norm subspace system identification and its application on a stochastic model of plague

DOI10.1007/s11424-019-8003-9zbMath1437.92146OpenAlexW2998247783WikidataQ126418848 ScholiaQ126418848MaRDI QIDQ2179645

Miao Yu, Li-Chun Zhao, Jian chang Liu

Publication date: 13 May 2020

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-019-8003-9

zbMATH Keywords

subspace identificationKalman filterstochastic modelnuclear normplague

Mathematics Subject Classification ID

Epidemiology (92D30) Filtering in stochastic control theory (93E11) System identification (93B30) Discrete-time control/observation systems (93C55) Stochastic systems in control theory (general) (93E03)

Related Items (2)

Research on image signal identification based on adaptive array stochastic resonance ⋮ Closed-loop delta-operator-based subspace identification for continuous-time systems utilising the parity space

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Blind multivariable ARMA subspace identification
• FIR systems identification under quantized output observations and a large class of persistently exciting quantized inputs
• A reweighted nuclear norm minimization algorithm for low rank matrix recovery
• On the nuclear norm heuristic for a Hankel matrix completion problem
• Solution to stochastic LQR problem with multiple inputs
• Subspace identification for a stochastic model of plague
• Interior-Point Method for Nuclear Norm Approximation with Application to System Identification

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