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University of Michigan
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Real-world cyber-physical system resilience demands a holistic approach integrating hardware, software, human factors, proactive measures, and adaptive recovery, moving beyond traditional fault models.
Achieve safety-critical control of adaptive systems without state derivative measurements by quantifying lumped disturbance and learning error with integral online conformal prediction.
