sysco 0.1.1b1

Library for system and control tools

System and Controls Library

Collection of various tools in the field of systems and controls.

Systems can mean just about anything. Here, we are talking about dynamic systems and how to find the right input to achieve a desired state of equilibrium.

As a first step, the library implements the base controller class that defines the basic requirements for any discrete-time controller.

The next step is to derive model-based controllers and then also data-driven controllers.

At some point, the fundamentals of control systems such as PID could be integrated, presumably as wrappers for existing libraries and tools.

Usage

from sysco import Controller # Controller subclasses not already implemented

# custom controller example
class MyController(Controller):
    def get_input(self):
        return 1

# instantiate custom class and get input
my_controller = MyController()
print(my_controller.get_input()) # --> 1

# try to instantiate base class
base_controller = Controller()
next_input = base_controller.get_input() # --> NotImplementedError

Future development

To avoid bottlenecks later on, Rust is already built into the structure 

Controller (in planning)

LQR

• First one that will be implemented
• Infinite horizon without constraints

Returns optimal input $u^\star$ that drives the System to the origin.

MPC

Nominal Case

Economic MPC

Tracking MPC

Robust MPC

Data-driven approaches

DeePC

RL-based