Identification error bounds and asymptotic distributions for systems with structural uncertainties

DOI10.1007/s11424-006-0022-7zbMath1105.93025OpenAlexW2014983716MaRDI QIDQ863000

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

Publication date: 25 January 2007

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

Full work available at URL: https://doi.org/10.1007/s11424-006-0022-7

zbMATH Keywords

noisesystem identificationunmodeled dynamicsnonlinear model mismatchobservation bias

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems with incomplete information (93C41)

Related Items (5)

System identification: regime switching, unmodeled dynamics, and binary sensors ⋮ Identification of Wiener systems with binary-valued output observations ⋮ Tracking and identification of regime-switching systems using binary 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

Cites Work

• Identification and stochastic adaptive control
• A stopping rule for the Robbins-Monro method
• Closed-loop persistent identification of linear systems with unmodeled dynamics and stochastic disturbances
• Persistent identification of systems with unmodeled dynamics and exogenous disturbances
• Persistent identification of time-varying systems
• Budget-Dependent Convergence Rate of Stochastic Approximation
• Least mean square algorithms with Markov regime-switching limit
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