Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

This paper proposes an enhanced neural network model predictive control based on the teaching learning-based optimization algorithm, for the speed control of the permanent magnet synchronous motor.

Hierarchical control strategies and active power flow controllers represent distinct approaches aimed at enabling flexible power distribution among different dc microgrids within a cluster. To enhance ...