The increasing impact of climate change and rising occurrences of natural disasters pose
substantial threats to power systems. Strengthening resilience against these low-probability …

This letter devises a physics-informed neural hierarchical control for uncertain networked
microgrids (NMs) to provide certificated safe and stable control of NMs undergoing …

Communication has always played a vital role in microgrids in maintaining reliable
operations and achieving great benefits and will be even more critical with the increasing …

We study the model-based dynamic event-triggered distributed control for linear physically
interconnected systems. For each subsystem, a distributed event-triggered control law …

A differential Duffing oscillator detector (DDOD) based method is developed to detect
controller manipulation and replay attacks on inverters without compromising networked …

A neural-Lyapunov-barrier-enabled, physics informed-learning-based control method is
devised to provide certificated safe and stable hierarchical control of microgrids. The main …