Abstract
This document offers an overview of fundamental functionalities within the Python Control Systems Library (python-control), a software tool in Python tailored for designing control systems. Emphasizing the creation of a state-space control system for a kinematic vehicle, it covers aspects such as trajectory creation and implementing gain feedback control. It illustrates the use of the input/output (I/O) system class, which can be used to build models of nonlinear control systems.The article substantiates the necessity of controlling a nonlinear system by means of feedback using the Python-control library. It is shown that one of the most effective means of its development is the Python programming language. Due to the presence of many libraries, it has a sufficient set of tools for its realization. Built-in functions of mathematical packages NumPy and SciPy, intended for controlling a nonlinear system by means of feedback, are considered. The possibilities of application of the Matplotlib package for computer modeling related to the system with feedback are shown, which is performed when the vehicle moves along a given trajectory using a linear controller. and the built-in Tkinter package for the development of a graphical interface of the resource under development.