Tracking and identification of regime-switching systems using binary sensors

DOI10.1016/j.automatica.2008.11.025zbMath1162.93043OpenAlexW2079827055MaRDI QIDQ1023359

shaobai kan, G. George Yin, L. Y. Wang

Publication date: 11 June 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.11.025

zbMATH Keywords

trackingerror boundempirical measureswitching processMarkovian parameterWonham-type filter

Mathematics Subject Classification ID

Related Items (5)

LS-based parameter estimation of DARMA systems with uniformly quantized observations ⋮ System identification: regime switching, unmodeled dynamics, and binary sensors ⋮ Almost sure convergence rates for system identification using binary, quantized, and regular sensors ⋮ Parameter estimation in systems with binary-valued observations and structural uncertainties ⋮ Persistent tracking and identification of regime-switching systems with structural uncertainties: unmodeled dynamics, observation bias, and nonlinear model mismatch

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