Biologically inspired neural network controller for an infrared tracking system

Janette R. Frigo; Mark W. Tilden

doi:10.1117/12.335726

8 January 1999 Biologically inspired neural network controller for an infrared tracking system

Janette R. Frigo, Mark W. Tilden

Proceedings Volume 3525, Mobile Robots XIII and Intelligent Transportation Systems; (1999) https://doi.org/10.1117/12.335726
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

Many biological system exhibit capable, adaptive behavior with a minimal nervous system such as those found in lower invertebrates. Scientists and engineers are studying biological system 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 sensor mounted on an actuator. It is implemented with an electrical oscillator network, two IR sensor 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.

Citation Download Citation

Janette R. Frigo and Mark W. Tilden "Biologically inspired neural network controller for an infrared tracking system", Proc. SPIE 3525, Mobile Robots XIII and Intelligent Transportation Systems, (8 January 1999); https://doi.org/10.1117/12.335726

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