Distributed Neural Network for Smart Structures Applications

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 40702
Amount: $99,998.00
Phase: Phase I
Program: SBIR
Awards Year: 1998
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
7923 Jones Branch Dr., Mclean, VA, 22102
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 John Walrod
 (601) 863-0007
Business Contact
Phone: () -
Research Institution
Neural control algorithms have been the subject of intensive study and development over the last ten years. Their chief advantages are their potntial to control many sensors and actuators in a distributed fashion, thus relieving the burden levied on each computational unit; and their ability to optimize their own performance based on measured data, reducing or eliminating their dependence on highly questionable and complex models of the system to be controlled. Both of these advantages are crucial to the success of future missions, but their realization depends absolutely on the existence of a neural network that is low-cost and efficient, both in terms of its impact on system resources such as weight, size and power and in terms of development costs.Planning Systems Inc. (PSI) proposes an innovative approach which leverages COTS local area network technology to provide a fas, modular neural network. The proposed system will enable algorithm designers to develop and implement high spped algorithms in an efficient, high-level software environment.

* information listed above is at the time of submission.

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