Abstract: Precise dynamic model calibration is essential in achieving reliable control of unmanned aerial vehicles (UAVs). However, the existing methods tend to use simplified dynamic models and ...
Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...