Please use this identifier to cite or link to this item: https://doi.org/10.1109/.2005.1467031
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dc.titleAdaptive neural control of non-affine pure-feedback systems
dc.contributor.authorWang, G.
dc.contributor.authorHill, D.J.
dc.contributor.authorGe, S.S.
dc.date.accessioned2014-06-19T02:57:52Z
dc.date.available2014-06-19T02:57:52Z
dc.date.issued2005
dc.identifier.citationWang, G.,Hill, D.J.,Ge, S.S. (2005). Adaptive neural control of non-affine pure-feedback systems. Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05 2005 : 298-303. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/.2005.1467031" target="_blank">https://doi.org/10.1109/.2005.1467031</a>
dc.identifier.isbn0780389360
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69192
dc.description.abstractControlling non-affine nonlinear systems is a challenging problem in the control community. In this paper, an adaptive neural control approach is presented for the completely non-affine pure-feedback system with only one mild assumption. By combining adaptive neural design with input-to-state stability (ISS) analysis and the small-gain theorem, the difficulty in controlling non-affine pure-feedback system is overcome by achieving the so-called "ISS-modularity" of the controller-estimator. The ISS-modular approach provides an effective way for controlling non-affine nonlinear systems with uncertainties. Simulation studies are included to demonstrate the effectiveness of the proposed approach. ©2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/.2005.1467031
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/.2005.1467031
dc.description.sourcetitleProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
dc.description.volume2005
dc.description.page298-303
dc.identifier.isiutNOT_IN_WOS
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