Fuzzy Control Using Intuitive Image Analysis

dc.contributor 國立臺灣師範大學電機工程學系 zh_tw
dc.contributor.author G.-M. Chen en_US
dc.contributor.author P.-Z. Lin en_US
dc.contributor.author W.-Y. Wang en_US
dc.contributor.author T.-T. Lee en_US
dc.contributor.author C.-H. Wang en_US
dc.date.accessioned 2014-10-30T09:28:20Z
dc.date.available 2014-10-30T09:28:20Z
dc.date.issued 2008-05-27 zh_TW
dc.description.abstract In this paper, a novel fuzzy control scheme using intuitive image analysis is developed to imitate the intuitive human control behavior determined through human eyes. A CCD camera is used to gather the images of the controlled plant, and a simple algorithm is proposed to analyze the images. Unlike that in the visual servo control systems, the image information is utilized in a more intuitive way via the proposed image analysis algorithm. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed fuzzy control scheme, it is applied to an inverted pendulum system. Simulation results show that the proposed scheme can achieve favorable tracking performance without prior knowledge of the controlled plant. en_US
dc.description.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4581471 zh_TW
dc.identifier ntnulib_tp_E0604_02_029 zh_TW
dc.identifier.uri http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32006
dc.language en zh_TW
dc.relation Human System Interactions, Krakow, Poland, pp. 394-399. en_US
dc.subject.other fuzzy logic systems en_US
dc.subject.other image-based en_US
dc.subject.other visual servo control en_US
dc.title Fuzzy Control Using Intuitive Image Analysis en_US