A robust global approach for LPV FIR model identification with time-varying time delays

DOI10.1016/j.jfranklin.2018.07.025zbMath1398.93082OpenAlexW2887516991WikidataQ129393273 ScholiaQ129393273MaRDI QIDQ1797186

Xin Liu, Weili Xiong, Xianqiang Yang

Publication date: 18 October 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.07.025

zbMATH Keywords

robust identificationlinear parameter varying finite impulse response model

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Identification in stochastic control theory (93E12) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

Related Items (2)

Convergence analysis of forgetting factor least squares algorithm for ARMAX time-delay models ⋮ Nonlinear state-space system identification with robust laplace model

Uses Software

• System Identification Toolbox

Cites Work

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• Identification of switched Markov autoregressive exogenous systems with hidden switching state
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• Fast Kalman-Like Optimal Unbiased FIR Filtering With Applications

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