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A tool for verification and validation of neural network based adaptive controllers for high assurance systems

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2 Author(s)
Gupta, P. ; QSS Inc., USA ; Schumann, J.

High reliability of mission and safety-critical software systems has been identified by NASA as a high-priority technology challenge. We present an approach for the performance analysis of a neural network (NN) in an advanced adaptive control system. This problem is important in the context of safety-critical applications that require certification, such as flight software in aircraft. We have developed a tool to measure the performance of the NN during operation by calculating a confidence interval (error bar) around the NN's output. Our tool can be used during pre-deployment verification as well as monitoring the network performance during operation. The tool has been implemented in Simulink and simulation results on a F-15 aircraft are presented.

Published in:

High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on

Date of Conference:

25-26 March 2004