Code for "Linear Algebra in Control Theory" presentation.
Code is mostly for generating plots of dynamic systems using their state-space representation and testing methods I discuss in the presentation (calculating eigenvalues)
The various test#.py files all approximately do the same thing (plot a spring mass system) but I gradually understood what I was doing more so the quality improves.
test_pole_placement.py tests an implementation I derived for a specific case of pole placement.
main.py puts all of this together to create code that's documented, decently re-usable, and (hopefully) readable.
The final code contains code to:
- create a system (represented by its state-space equation)
- create a simulation for that system (given its initial conditions) that updates over a small timestep given an input
- method to record data about the system over a given time
- various methods to plot data about the system