To address low control accuracy and frequent controller updates in gas blending, a fuzzy neural network PID control method based on an event-triggered mechanism (ET-FNN-PID) is proposed. Key ...

This paper intends to address the challenges of insufficient robustness and model uncertainty compensation in unmanned aerial vehicle dynamic systems under complex disturbances. The paper proposes a ...