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|Title:||Gain scheduling control of nonlinear plant using RBF neural network||Authors:||Chai, Joo-Siong
|Issue Date:||1996||Citation:||Chai, Joo-Siong,Tan, Shaohua,Hang, Chang-Chieh (1996). Gain scheduling control of nonlinear plant using RBF neural network. IEEE International Symposium on Intelligent Control - Proceedings : 502-507. ScholarBank@NUS Repository.||Abstract:||In this paper, an on-line approach to gain scheduling control of a type of nonlinear plant is proposed. The method consists of a partitioning algorithm to partition the plant's operating space into several regions, a mechanism that designs a linear controller for each region, and a radial basis function neural network (RBFN) for on-line interpolation of the controller parameters among the different regions. The method is described in detail, and is studied analytically in computer simulation on gain scheduled PI control of a nonlinear plant, which shows encouraging performance.||Source Title:||IEEE International Symposium on Intelligent Control - Proceedings||URI:||http://scholarbank.nus.edu.sg/handle/10635/72657|
|Appears in Collections:||Staff Publications|
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