dc.contributor.author | Zhang, Liang | |
dc.contributor.author | Chang, Xiaoheng | |
dc.contributor.author | Karimi, Hamid Reza | |
dc.date.accessioned | 2015-01-07T08:46:52Z | |
dc.date.available | 2015-01-07T08:46:52Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Zhang, L., Chang, X., & Karimi, H. R. (2014). Fuzzy modeling and control for a class of inverted pendulum system. Abstract and Applied Analysis, 2014, 1-6. doi: 10.1155/2014/936868 | nb_NO |
dc.identifier.issn | 1085-3375 | |
dc.identifier.uri | http://hdl.handle.net/11250/273681 | |
dc.description | Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/936868 Open Access | nb_NO |
dc.description.abstract | Focusing on the issue of nonlinear stability control system about the single-stage inverted pendulum, the T-S fuzzy model is employed. Firstly, linear approximation method would be applied into fuzzy model for the single-stage inverted pendulum. At the same time, for some nonlinear terms which could not be dealt with via linear approximation method, this paper will adopt fan range method into fuzzy model. After the T-S fuzzy model, the PDC technology is utilized to design the fuzzy controller secondly. Numerical simulation results, obtained by Matlab, demonstrate the well-controlled effectiveness based on the proposed method for the model of T-S fuzzy system and fuzzy controller. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Hindawi Publishing Corporation | nb_NO |
dc.title | Fuzzy modeling and control for a class of inverted pendulum system | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411 | nb_NO |
dc.source.pagenumber | 1-6 | nb_NO |
dc.source.journal | Abstract and Applied Analysis | nb_NO |
dc.identifier.doi | 10.1155/2014/936868 | |