Abstract
In this paper the designing of a tracked robot's neural network control system is considered. The control system embodies a black line following algorithm, which is using two infrared reflector sensors for black line recognition. The neural network regulator is designed in Matlab/Simulink using the Real-Time Windows Target Toolbox. With the purpose of the neural network regulator training, course passage results of the robot with a fuzzy regulator are used.
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