Toward V&V of neural network based controllers
WOSS '02 Proceedings of the first workshop on Self-healing systems
Performance estimation of a neural network-based controller
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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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 fiight 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.