Here are
21 public repositories
matching this topic...
Awesome Mechanical Engineering Resources
CPU Load Generator allows you to generate a fixed configurable CPU load for a finite time by means of PID regulator.
Updated
Jul 2, 2018
Python
Mango Automation Core public code
Updated
Aug 31, 2020
Java
Arduino library and MATLAB/Simulink API for the AutomationShield Arduino expansion boards for control engineering education.
emgr - EMpirical GRamian Framework
Updated
Jun 28, 2020
MATLAB
Analysis and design tools for control systems.
Updated
Nov 4, 2019
Julia
Julia package for representing linear, time-invariant system models and operations defined on them.
Updated
Oct 18, 2019
Julia
Repository for the course "Computational Dynamics for Robotics" at University of Stuttgart
Updated
May 6, 2020
MATLAB
Конспекти з курсу Автоматизація та КТ
Functions for studying LTI (linear time-invariant) dynamical systems
Updated
Apr 11, 2020
Racket
A composable library to implement contol loops in C++
A Python Library for implementing systems and various control strategies
Updated
Aug 7, 2020
Python
Collection of simple but useful libraries for signal processing on Arduino
This code is an appendix for final project of Teknik Kendali Lanjut (Advanced Control Engineering) course (TKEE163125) in Universitas Gadjah Mada
Updated
Jan 1, 2019
MATLAB
Methods for Identification - academic project
Updated
Jan 26, 2018
MATLAB
A gentle intro to reduction of linear systems block diagrams using series, parallel and feedback configuration
Updated
Apr 20, 2020
Python
Report for our Electronics and IT 5th semester student project at AAU
Projects I've made during undergraduation at UFSC
Updated
May 29, 2018
VHDL
A comprehensive mechatronics project of design of mini-segway primarily oriented to education both hobbyists and professionals. Repo contains: Arduino code, CAD files and Matlab models
Rotational/Translational Actuator System Discretization, Estimation and Robust Control
Updated
Jul 19, 2019
MATLAB
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Current docstring contents are not sufficient. Every function, regardless of trivialness, require at least one usage example.