SYSTEM FOR PREVENTING CORRUPTION OF NEURAL NETWORK INSAFETY-CRITICAL SYSTEMS ON AIRCRAFT
Disclosed is an aircraft control system (100) comprising an aircraft control module (110) and a test module (120). The aircraft control module (110) comprises a memory storing a machine learning model (130) adapted, based on received live aircraft operating inputs (102a-102f), to generate live aircr...
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Format: | Patent |
Sprache: | eng ; fre ; ger |
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Zusammenfassung: | Disclosed is an aircraft control system (100) comprising an aircraft control module (110) and a test module (120). The aircraft control module (110) comprises a memory storing a machine learning model (130) adapted, based on received live aircraft operating inputs (102a-102f), to generate live aircraft control outputs (104a-104b), to perform aircraft control. The test module (120) comprises a memory storing input data representing test aircraft operating inputs (102a'-102f') and respective output data representing expected aircraft control outputs (114a, 114b) that are expected to be generated by the aircraft control module in response to an input of the respective test aircraft operating inputs (102a'-102f'). The test module (120) is adapted, while the aircraft control module (110) is not performing aircraft control, to write test aircraft operating inputs (102a'-102f') to the aircraft control module, read test aircraft control outputs (104a'-104b') of the aircraft control module (110) generated based on the respective test aircraft operating inputs (102a'-102f'), and selectively remove the authority of the aircraft control module (110) to perform aircraft control if the test aircraft control outputs (104a'-104b') do not conform to the respective expected aircraft control outputs (114a-114b). |
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