Control allocation algorithms for quadrotor drones that convert controller commands into rotor thrusts have trouble managing minor but computationally complex perturbations such as ‘blade ...

The paper describes a hybrid air-fuel mixture control system that uses neural network and the direct adaptive algorithm. The A/F ratio stabilization to the stoichiometric value is required to obtain ...

The project objective at the Big Bend plant was to develop a neural-network-driven system that could initiate, control, and optimize sootblowing in response to real-time events or conditions ...

The core of this patent lies in the use of neural network technology for intelligent control of the flotation process. Flotation is a key step in mineral processing, separating target minerals from ...

A novel compensation control strategy is proposed to compensate for automatic steering system controller limitations in instability under nonlinear interference condition. In this article, the ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Using artificial intelligence and neural network technologies, relevant data from the video ... Automated devices within the ...