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>A Tool for Verification and Validation of Neural Network Based Adaptive Controllers for High Assurance Systems
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A Tool for Verification and Validation of Neural Network Based Adaptive Controllers for High Assurance Systems
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机译:用于基于神经网络的高保证系统自适应控制器的验证和确认工具
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摘要
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.
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