Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/81431
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dc.titleFuzzy identification and controller based on generalized fuzzy radial basis function networks
dc.contributor.authorZhang, Xinghu
dc.contributor.authorHang, Chang-Chieh
dc.contributor.authorTan, Shaohua
dc.contributor.authorWang, Pei-Zhuang
dc.date.accessioned2014-10-07T03:08:14Z
dc.date.available2014-10-07T03:08:14Z
dc.date.issued1995
dc.identifier.citationZhang, Xinghu,Hang, Chang-Chieh,Tan, Shaohua,Wang, Pei-Zhuang (1995). Fuzzy identification and controller based on generalized fuzzy radial basis function networks. IEEE International Conference on Fuzzy Systems 1 : 239-246. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/81431
dc.description.abstractThis paper first proposes a new kind of fuzzy neural networks - Generalized Fuzzy Radial Basis Function Networks (f-RBF), which combines the fuzzifying and defuzzifying processes into a united network structure. We then give the dynamic training rule and training strategy for the f-RBF. We further discuss several special features of this kind of networks that conventional neural networks do not have, and conclude that it can process both the fuzzy-valued and real-valued data simultaneously, and can achieve the minimum realization of fuzzy controller for nonlinear systems. Finally, using the f-RBF, we design a fuzzy controller for a nonlinear system regulation. Furthermore, we point out that any nonlinear control u can be decomposed into three parts: a fuzzy control uf, a linear control ul, and an error compensation ue, i.e., u = uf + ul + ue. The stability of the closed-loop system is also analyzed using sliding control techniques.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.sourcetitleIEEE International Conference on Fuzzy Systems
dc.description.volume1
dc.description.page239-246
dc.description.codenPIFSF
dc.identifier.isiutNOT_IN_WOS
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