Distributed moving horizon state estimation of two-time-scale nonlinear systems

DOI10.1016/j.automatica.2017.01.023zbMath1371.93031OpenAlexW2591808198MaRDI QIDQ2409339

Xunyuan Yin, Jinfeng Liu

Publication date: 11 October 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2017.01.023

zbMATH Keywords

large-scale systemsmoving horizon estimationobserver-enhanced designtime-scale multiplicity

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Time-scale analysis and singular perturbations in control/observation systems (93C70) Large-scale systems (93A15)

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Cites Work

• Unnamed Item
• Unnamed Item
• An adaptive high-gain observer for nonlinear systems
• High-gain observers in the presence of measurement noise: a switched-gain approach
• Robust output feedback control of nonlinear singularly perturbed systems
• Consensus based overlapping decentralized estimation with missing observations and communication faults
• A simple observer for nonlinear systems applications to bioreactors
• A Luenberger-like observer for nonlinear systems
• Moving Horizon Estimation for Large-Scale Interconnected Systems

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