problem background
When mathematically modeling the drone problem in 2022, I encountered something about the learning rate. It is not very clear. Now you can look at the following content.
problem solved
The learning rate is a common concept in machine learning and optimization that determines how much the model should adjust on each update. A higher learning rate may cause the model to skip the optimal point when searching for an optimal solution, while a lower learning rate may cause the model to converge too slowly. In your document, the learning rate a is used to decide how the drone should adjust to its current position and average position, and how to adjust to its target angle.
In simple terms, the learning rate is a tuning parameter that determines how much the drone should move towards its ideal position.
