Parallel feedforward compensator design via FRIT with T-S fuzzy like model for discrete-time adaptive control systems

Author

Takagi, Taro ; Minehara, Komei ; Mizumoto, Ikuro

Author_Institution

Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, Japan

fYear

2012

fDate

20-23 Aug. 2012

Firstpage

1184

Lastpage

1189

Abstract

This paper deals with a design problem of parallel feedforward compensator (PFC) via FRIT approach with T-S fuzzy like model data for discrete-time adaptive control systems. In order to obtain a desired PFC which realizes an ASPR augmented controlled system, PFC parameters are adjusted by the fictitious reference iterative tuning (FRIT) method so as to exist a feedback gain such that the output of the augmented closed loop system with the PFC track the output of the given SPR model by optimizing the performance function that consists of input-output data by T-S fuzzy like model.

Keywords

adaptive control; closed loop systems; control system synthesis; discrete time systems; feedback; feedforward; fuzzy set theory; iterative methods; ASPR augmented controlled system; FRIT approach; PFC; T-S fuzzy like model; augmented closed loop system; discrete-time adaptive control systems; feedback gain; fictitious reference iterative tuning method; input-output data; parallel feedforward compensator design; Adaptation models; Adaptive control; Closed loop systems; Data models; Output feedback; Vectors; ASPR; Adaptive control; FRIT; parallel feedforward compensator;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference (SICE), 2012 Proceedings of

Conference_Location

Akita

ISSN

pending

Print_ISBN

978-1-4673-2259-1

Type

conf

Filename

6318624