@article{(Open Science Index):https://publications.waset.org/pdf/9766,
	  title     = {Neural Network Controller for Mobile Robot Motion Control},
	  author    = {Jasmin Velagic and  Nedim Osmic and  Bakir Lacevic},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper the neural network-based controller is
designed for motion control of a mobile robot. This paper treats the
problems of trajectory following and posture stabilization of the
mobile robot with nonholonomic constraints. For this purpose the
recurrent neural network with one hidden layer is used. It learns
relationship between linear velocities and error positions of the
mobile robot. This neural network is trained on-line using the
backpropagation optimization algorithm with an adaptive learning
rate. The optimization algorithm is performed at each sample time to
compute the optimal control inputs. The performance of the proposed
system is investigated using a kinematic model of the mobile robot.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {2471 - 2476},
	  ee        = {https://publications.waset.org/pdf/9766},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},
	}