In ever-changing field environments, conditions can shift rapidly, eroding the best-laid plans with little time to react.

Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...

Abstract: This paper investigates iterative learning control for linear discrete systems. Under general conditions, an explicit formula for the inverse model-based algorithm is derived. Building on ...