Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
A simulation for quadrotor based on matlab
Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue
SOROTOKI is an open-source MATLAB package that includes an array of tools for design, modeling, and control of soft robotic systems 🐙 🤖
GNU Octave and MATLAB control toolbox
This repository contains my implementation of the programming asssignments of Control of Mobile Robots course delivered by Georgia Institute of Technology on Coursera, which covers control theory, robot models, mobility controllers and applications.
Universal physical Analysis for Quadcopter about Control Based on Matlab.
Safety-critical control for autonomous systems
Library of LMI methods for Robust Control
Matlab implementation of the "MIMO PID tuning via iterated LMI restiction" by Boyd, Hast, and Astrom
This collection of MATLAB scripts intends to study the performance of state-constrained controllers utilizing control barrier functions in the context of adaptive cruise control.
Model Predictive Control (MPC)
This repository houses MATLAB code written to study CBF-based safety filters in the context of obstacle avoidance for 2D linear systems.
ODESCA is a MATLAB tool for the creation and analysis of dynamic systems described by ordinary differential equations
Safety-critical control for autonomous systems
model error compensator (matlab codes of journal article) robust control
MATLAB toolbox for stochastic reachability (probabilistic verification and controller synthesis)
A naive quadcopter simulator equipped with the mathematical model of the drone and its dynamics in the environment. Control methods are employed to fly the drone with the desired goals given the initial conditions.
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