A Control Systems Toolbox for Julia
-
Updated
Nov 20, 2024 - Julia
A Control Systems Toolbox for Julia
反馈跟踪控制器,控制算法工具包,ADRC自抗扰控制,PID控制,抗积分饱和PID控制,增量式PID控制,模糊FuzzyPID控制,LQR线性二次型调节器控制,启发算法控制,强化学习控制,无人机轨迹跟踪控制
A repository of introductory autonomous ground vehicle (i.e., wheeled mobile robot) simulation examples in Python.
An open-source linear control toolbox for MATLAB.
Useful utilities made by Purdue's VEX U BLRS team for PROS 2
Discrete-time PID controllers in Julia
Control barrier functions (CBFs) in Julia.
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…
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
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
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
Pipelines Feedback Framework for Kubernetes-Native CI/CD systems
CoPPer - Control Performance with Power
Implemented pole placement and linear quadratic regulator on several real-world systems.
The program integrates two sensors and pumps, namely a water pressure sensor and a flow sensor. The flow rate and pressure can be read through a personal computer, and the pump speed percentage (PWM) can be set through the serial port.
Proportional Integral Derivative (PID) Controller
Add a description, image, and links to the feedback-controller topic page so that developers can more easily learn about it.
To associate your repository with the feedback-controller topic, visit your repo's landing page and select "manage topics."