LPV system identification with multiple-model approach based on shifted asymmetric laplace distribution

DOI10.1080/00207721.2020.1859158zbMath1483.93090OpenAlexW3120585039MaRDI QIDQ5028095

Xinpeng Liu, Miao Yu, Xianqiang Yang

Publication date: 8 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2020.1859158

zbMATH Keywords

system identificationnonlinearityasymmetric noiselinear parameters varying systems

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05)

Cites Work

• Multiple model approach to linear parameter varying time-delay system identification with EM algorithm
• Towards efficient maximum likelihood estimation of LPV-SS models
• Robust identification of nonlinear time-delay system in state-space form
• LPV control and full block multipliers

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