Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorG.-M. Chenen_US
dc.contributor.authorP.-Z. Linen_US
dc.contributor.authorW.-Y. Wangen_US
dc.contributor.authorT.-T. Leeen_US
dc.contributor.authorC.-H. Wangen_US
dc.description.abstractIn 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.relationHuman System Interactions, Krakow, Poland, pp. 394-399.en_US
dc.subject.otherfuzzy logic systemsen_US
dc.subject.othervisual servo controlen_US
dc.titleFuzzy Control Using Intuitive Image Analysisen_US
Appears in Collections:教師著作

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.