@article{(Open Science Index):https://publications.waset.org/pdf/6706,
	  title     = {A Model-following Adaptive Controller for Linear/Nonlinear Plantsusing Radial Basis Function Neural Networks},
	  author    = {Yuichi Masukake and  Yoshihisa Ishida},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we proposed a method to design a
model-following adaptive controller for linear/nonlinear plants.
Radial basis function neural networks (RBF-NNs), which are known
for their stable learning capability and fast training, are used to
identify linear/nonlinear plants. Simulation results show that the
proposed method is effective in controlling both linear and nonlinear
plants with disturbance in the plant input.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {11},
	  year      = {2007},
	  pages     = {3419 - 3422},
	  ee        = {https://publications.waset.org/pdf/6706},
	  url   	= {https://publications.waset.org/vol/11},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 11, 2007},
	}