Statistical performance verification for an autonomous rotorcraft


We present an approach to verifying the performance of an intelligent control algorithm for which traditional, deterministic verification is not feasible. Our approach is based on statistical learning theory. We develop a classifier based on simulation data to partition the potential operating region of a system under control (here an autonomous helicopter… (More)


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