Brain style control scheme: Simultaneous forward and inverse model identification and controller design

Author

Eciolaza, Luka ; Taniguchi, Takafumi ; Sugeno, Michio

Author_Institution

Eur. Centre for Soft Comput., Mieres, Spain

fYear

2014

fDate

6-11 July 2014

Firstpage

2457

Lastpage

2464

Abstract

Brain Style control scheme is presented inspired by the brains hability to implement the most efficient and robust control systems available to date. It represents the first attempt to perform simultaneous and on-line (a) forward model identification, (b) controller design and (c) inverse model learning. For that we have simultaneously implemented the concepts of Vertex Placement Principle and Feedback Error Learning. The paper contributes in our attempt to demonstrate the potential of Piecewise Bilinear models for nonlinear control systems.

Keywords

brain; control system synthesis; feedback; learning systems; piecewise linear techniques; robust control; brain hability; brain style control scheme; controller design; feedback error learning; forward model identification; inverse model identification; inverse model learning; nonlinear control systems; piecewise bilinear models; robust control systems; vertex placement principle; Adaptation models; Adaptive control; Approximation methods; Brain modeling; Computational modeling; Feedforward neural networks; Table lookup; Brain style control; Feedback error learning; Nonlinear control systems; Piecewise bilinear models; Vertex placement principle;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-2073-0

Type

conf

DOI

10.1109/FUZZ-IEEE.2014.6891893

Filename

6891893