State-space LPV model identification using kernelized machine learning
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Publication:1693709
DOI10.1016/j.automatica.2017.11.004zbMath1379.93094OpenAlexW2780439059MaRDI QIDQ1693709
Syed Zeeshan Rizvi, Javad Mohammadpour Velni, Nader Meskin, Farshid Abbasi, Roland Tóth
Publication date: 31 January 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2017.11.004
Learning and adaptive systems in artificial intelligence (68T05) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12) Stochastic learning and adaptive control (93E35)
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Safe control of nonlinear systems in LPV framework using model-based reinforcement learning ⋮ Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise ⋮ LMI-based design of state-feedback controllers for pole clustering of LPV systems in a union of 𝒟R-regions
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