Title :
Virtual reference feedback tuning for H∞ controllers
Author :
Fujisaki, Yasumasa ; Saitou, Kensuke
Author_Institution :
Dept. of Inf. & Phys. Sci., Osaka Univ., Suita, Japan
Abstract :
Virtual reference feedback tuning (VRFT) is a method to derive a model reference controller directly from a single set of measured input-output data of a plant. This paper presents a VRFT for H∞ model reference, which is an extension of the standard VRFT for H2 model reference. In contrast to the standard VRFT, the proposed method employs a signal representation as a lower triangular Toeplitz matrix. Then, the controller design is performed as a linear matrix inequality (LMI) optimization.
Keywords :
H∞ control; Toeplitz matrices; control system synthesis; feedback; signal representation; H infinity controllers; H infinity model reference; controller design; linear matrix inequality optimization; model reference controller; signal representation; triangular Toeplitz matrix; virtual reference feedback tuning; Computational modeling; Data models; Linear matrix inequalities; Optimization; Transfer functions; Tuning; H∞ model reference problem; Virtual reference feedback tuning; linear matrix inequality optimization; lower triangular Toeplitz matrix;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8
