DocumentCode :
227155
Title :
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
Link To Document :
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