A Control Systems Toolbox for Julia

A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.

Discrete-time PID controllers in Julia

An open-source linear control toolbox for MATLAB.

Linear Model Predictive Controller for Vehicle Trajectory Tracking based on Kinematic Unicycle Vehicle Motion Model with Cubic Polynomial Trajectory Generation. Evolutionary Algorithm-assisted Tuning of MPC prediction horizon and penalty matrices

Useful utilities made by Purdue's VEX U BLRS team for PROS 2

This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Cur…

Control barrier functions (CBFs) in Julia.

Stabilizing a non-linear system with backstepping and lyapunov based control

PWM-based observer feedback DC motor control implemented on Arduino UNO

The Performance with Optimal Energy Toolkit

The project builds a comprehensive robotic system capable of autonomous navigation. This includes designing a feedback controller to regulate motor speed and a velocity-based movement controller, implementing 2D mapping using Lidar for simultaneous localization and mapping (SLAM), and constructing a path planner for effective navigation.

Control of a Non-Linear 2 DOF Manipulator

Control logic for a Parallax 360 Servo - handles getting feedback - https://www.adafruit.com/product/3614

Feedback linearization for quadrotors

Implemented pole placement and linear quadratic regulator on several real-world systems.

CoPPer - Control Performance with Power

Pipelines Feedback Framework for Kubernetes-Native CI/CD systems

MATLAB/Simulink project for satellite attitude regulation using quaternion-based feedback control.

Regulation and trajectory tracking of flexible joint link. State transformation and feedback linearization are applied. It is a solution of Assignment2 in Fundamentals of Robot Control course for ROCV master's program at Innopolis University.