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http://dx.doi.org/10.5302/J.ICROS.2007.13.5.474

Fuzzy-Neural Modeling of a Human Operator Control System  

Lee, Seok-Jae (국방과학연구소)
Lyou, Joon (충남대학교 전자공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.5, 2007 , pp. 474-480 More about this Journal
Abstract
This paper presents an application of intelligent modeling method to manual control system with human operator. Human operator as a part of controller is difficult to be modeled because of changes in individual characteristics and operation environment. So in these situation, a fuzzy model developed relying on the expert's experiences or trial and error may not be acceptable. To supplement the fuzzy model block, a neural network based modeling error compensator is incorporated. The feasibility of the present fuzzy-neural modeling scheme has been investigated for the real human based target tracking system.
Keywords
human operator control system; fuzzy modeling; neural network compensator;
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