Design of an Optimized GMV Controller Based on Data-Driven Approach

Design of an Optimized GMV Controller Based on Data-Driven Approach

This paper presents a data-driven scheme that can obtain the optimized Generalized Minimum Variance (GMV) control parameters by applying the Nelder–Mead (NM) method based on Proportional-Integral Derivative (PID) controller for linear system. An adjustable λ is included in the GMV-PID controller. In...

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Autores principales: Liying Shi, Zhe Guan, Toru Yamamoto
Formato: article
Lenguaje:EN
Publicado: Atlantis Press 2021
Materias:
PID controller
GMV
Nelder–Mead method
data-driven approach
Technology
T
Acceso en línea:https://doaj.org/article/8fd8278392ce4c06ba118c126135436f
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