Adaptive Nonlinear Parametric Neural Control of Nonaffine Nonlinear Systems

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dc.contributor國立臺灣師範大學電機工程學系zh_tw
dc.contributor.authorY.-G. Leuen_US
dc.contributor.authorW.-C. Leuen_US
dc.contributor.authorW.-Y. Wangen_US
dc.contributor.authorZ.-H. Leeen_US
dc.date.accessioned2014-10-30T09:28:19Z
dc.date.available2014-10-30T09:28:19Z
dc.date.issued2010-07-03zh_TW
dc.description.abstractBy using B-spline neural networks, an adaptive nonlinear parametric control scheme for nonlinear systems is proposed in this paper. The control scheme which is utilized to design the control input incorporates the adaptive control design technique with the mean-estimation B-spline neural networks. Compared with other neural networks, the B-spline neural networks possess output behavior the characteristic feature of locally controlling. Therefore, they are very suitable to online estimate system dynamics by tuning both control and knot points. The B-spline neural networks with a mean苟stimation technique are used in an attempt to avoid difficulty of differentiating B-spline basis functions. In addition, two robust controllers are used to compensate un modeling dynamics. Finally, an example is provided to demonstrate the feasibility of the proposed scheme, and a comparative study is given by computer simulation.en_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5551755zh_TW
dc.identifierntnulib_tp_E0604_02_017zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31994
dc.languageenzh_TW
dc.relationInternational Conference on System Science and Engineering in Taiwan, pp. 150-154en_US
dc.subject.otherB-spline functionsen_US
dc.subject.otherneural networksen_US
dc.subject.otheradaptive controlen_US
dc.subject.othernonlinear systemsen_US
dc.titleAdaptive Nonlinear Parametric Neural Control of Nonaffine Nonlinear Systemsen_US

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