@conference {795,
	title = {Hardware Implementation Using DSP{\textasciiacute}s of the Neurocontrol of a Wheelchair  },
	booktitle = {International Work conference on Artificial and Natural Neural Network (IWANN{\textquoteright}99)},
	year = {1999},
	month = {10/1999},
	pages = {149-156},
	abstract = {This paper describes the implementation of a neural network control system for guiding a wheelchair, using an architecture based on a digital signal processor (DSP). The control algorithm is based on a radial base network model, the main advantage of which is learning speed. The hub of the algorithm architecture is a DSP of the company Texas Instruments (TMS320C31). The board has complete autonomy of action and is specially designed for executing control algorithms in real time. The wheelchair prototype forms part of the SIAMO project, currently being developed by the Electronics Department of the University of Alcal{\'a}. The stability conditions are obtained for the correct functioning of the system and various simulations are conducted to deduce the correct functioning of the system when governing the output of the wheelchair. },
	isbn = {3-5406-6069-0},
	author = {Mart{\'\i}n, P. and Manuel Mazo and Luciano Boquete and F.J. Rodr{\'\i}guez and Fernandez, Ignacio and Rafael Barea Navarro and Jose L. Lazaro}
}
