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Machine Learning in Flight Control: Opportunities and Certification Nightmares
Machine learning is inching its way into modern avionics, but let’s be blunt: it’s far easier to build a clever neural controller in a lab than to certify one for an aircraft where human lives and military assets depend on deterministic behavior. The gap between “promising prototype” and “airworthy system” is massive. Anyone assuming…
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N-Version Programming and Design-Fault Tolerance in Safety-Critical Actuators
Safety-critical aerospace systems demand reliability far beyond ordinary software engineering standards. In modern fly-by-wire architectures, actuators that drive control surfaces — elevators, ailerons, rudders, flaps, and high-authority maneuvering systems — must function correctly under all circumstances. Hardware redundancy alone cannot guarantee this; design faults in software remain a major threat. This is where N-Version…