Stochastic Observability and Convergent Analog State Estimation of Randomly Switched Linear Systems With Unobservable Subsystems

DOI10.1109/tac.2022.3148602OpenAlexW4210938377MaRDI QIDQ6092996

Unnamed Author, Michael P. Polis, Feng Lin, L. Y. Wang, George Yin

Publication date: 6 September 2023

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2022.3148602

zbMATH Keywords

convergencehybrid systemsobserver designstochastic observabilitylarge deviation principles (LDP)randomly switched linear systems (RSLSs)

Mathematics Subject Classification ID

Systems theory; control (93-XX)

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Mean-square convergent continuous state estimation of randomly switched linear systems with unobservable subsystems and stochastic output noises

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