Abstract

Many biological systems exhibit capable, adaptive behavior with a minimal nervous system such as those found in lower invertebrates. Scientists and engineers are studying biological systems because these models may have real-world applications. The analog neural controller, herein, is loosely modeled after minimal biological nervous systems. The system consists of the controller and pair of sensors mounted on an actuator. It is implemented with an electrical oscillator network, two infrared sensors and a dc motor, used as an actuator for the system. The system tracks an IR target source. The pointing accuracy of this neural network controller is estimated through experimental measurements and a numerical model of the system.

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