The "fg_bayesian_pid" project is a simulation-based implementation of the Bayesian algorithm for optimizing the coefficients of the PID controller for control systems. The project uses the FlightGear simulator and Python libraries scikit-optimize and flightgear-python for optimization and simulator interaction, respectively.
This file contains the implementation of the optimization algorithm for the PID controller coefficients based on the Bayesian optimization method. The gp_minimize function from the scikit-optimize library is used for optimization, which allows solving optimization problems using Gaussian processes.
This file contains the implementation of a hierarchical structure of PID controllers for control systems. The hierarchical structure allows solving control problems at different levels of complexity, while ensuring smooth switching between levels.