supported by the National Natural Science Foundation of China(Nos.61273352,61174046,61175111,60904030,60874045,60874030);the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Nos.10KJB510027,09KJB510019);the Postdoctoral Science Research Project of Jiangsu Province(No.1102167C)
supported by National Natural Science Foundation of China(No.61174046)
In this paper, adaptive neural tracking control is proposed based on radial basis function neural networks (RBFNNs) for a class of muki-input multi-output (MIMO) nonlinear systems with completely unknown control d...