We compare the control costs and performance from run-time greedy actuator selection and full-state feedback with current state information to a random set of design-time actuators and the corresponding fixed full-state feedback.
Dynamics: 50 node randomly generated well-connected ER network (open-loop unstable with eigenvalue magnitude 1.05)
Use work_env to install a conda environment with all relevant packages for the code
- Test_Notebook is the jupyter notebook of the numerical analysis
- functionfile_model contains the functions used in the numerical analysis