Data-driven fault estimation of non-minimum phase LTI systems
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Publication:1642221
DOI10.1016/j.automatica.2018.03.035zbMath1388.93089OpenAlexW2794428491WikidataQ130066042 ScholiaQ130066042MaRDI QIDQ1642221
Publication date: 20 June 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2018.03.035
System identification (93B30) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)
Related Items (6)
Data-driven fault detection for large-scale network systems: a mixed optimization approach ⋮ System identification approach for inverse optimal control of finite-horizon linear quadratic regulators ⋮ Event-triggered fault detection for Takagi-Sugeno fuzzy systems via an improved matching membership function approach ⋮ A data-driven fault detection approach for unknown large-scale systems based on GA-SVM ⋮ Maximum likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution ⋮ Modeling a nonlinear process using the exponential autoregressive time series model
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