Self-tuning strategy for a minimum variance control system of a highly disturbed process

DOI10.1016/j.ejcon.2018.06.004zbMath1412.93047OpenAlexW2884955570WikidataQ129487007 ScholiaQ129487007MaRDI QIDQ2415103

Octavian Prostean, Cristian Vasar, Iosif Szeidert, Ioan Filip

Publication date: 20 May 2019

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2018.06.004

zbMATH Keywords

adaptive controlinduction generatorcontrol penalty factorminimum variance controllerself-tuning strategy

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Cites Work

• Unnamed Item
• The large deviation for the least squares estimator of nonlinear regression model based on WOD errors
• Control: a perspective
• Tuning the control penalty factor of a minimum variance adaptive controller
• Problems of identification and control
• Process Modelling, Identification, and Control

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