Advanced robust tracking control of a powered wheelchair

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dc.contributor.author Nguyen Hung en_US
dc.contributor.author Nguyen Tuan en_US
dc.contributor.author Su Steven en_US
dc.contributor.editor Dittmar, A; Clark, J en_US
dc.date.accessioned 2009-11-09T05:36:39Z
dc.date.available 2009-11-09T05:36:39Z
dc.date.issued 2007 en_US
dc.identifier 2006015410 en_US
dc.identifier.citation Nguyen Tuan, Nguyen Hung, and Su Steven 2007, 'Advanced robust tracking control of a powered wheelchair', IEEE, Lyon, France, pp. 4767-4770. en_US
dc.identifier.issn 1-4244-0788-5 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2781
dc.description.abstract In this paper, the dynamic multivariable model of the wheelchair system is obtained including the presence of transportation lags. The triangular diagonal dominance (TDD) decoupling technique is applied to reduce this multivariable control problem into two independent scalar control problems. An advanced robust control technique for the wheelchair has been developed based on the combination of a TDD decoupling strategy and neural network controller design. The results obtained from the real-time implementation confirm that robust performance for this multivariable wheelchair control system can indeed be achieved. en_US
dc.publisher The Institute of Electrical and Electronic Engineers Inc (IEEE) en_US
dc.relation.isbasedon http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4353405&isnumber=4352185 en_US
dc.title Advanced robust tracking control of a powered wheelchair en_US
dc.parent Proceedings of the 29th International Conference of the IEEE Engineering in Medicine and Biology Society en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Lyon, France en_US
dc.identifier.startpage 4767 en_US
dc.identifier.endpage 4770 en_US
dc.cauo.name Health Technologies en_US
dc.conference 29th Annual Conference of the IEEE Engineering in Medicine and Biology Society en_US
dc.conference.location Lyon, France en_US


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