LQR for trayectory controller design and analysis for an OpAmp with low pass filter configuration using Optimal Control techniques.
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Updated
May 27, 2024 - Scilab
LQR for trayectory controller design and analysis for an OpAmp with low pass filter configuration using Optimal Control techniques.
python lib for linear quadratic control
25 path-tracking algorithms are (goint to be) implemented with python.
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 Control Systems Toolbox for Julia
This project consist in the design and implementation of an optimal control law for a vehicle described by simple bicycle model. We have used the LQR (Linear Quadratic Regulator) and the MPC (Model Predictive Control) techinques.
Calibrate the position of Turtlebot by using LQR control and AprilTag
Designing a Linear Quadratic Gaussian Controller for short period dynamics of a missile to have successful target interception.
Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python
Bicycle Dynamics - Stability analysis and designing controller for Bicycle. SBU Modern Control course final project.
Optimal Cheap Robotic Actuator allowing high Torque and moderate Speed. Allow PRECISE Absolute, Speed and Torque Control. Using 3D-printed Cycloidal Drive, Custom PCB and LQR Control Algorithm.
modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation
Design and Simulation of LQR and LQG Controller for Crane System
Van der Pol Oscillator in C++. Finite Differences, SPSA and LQR controllers are used to drive the oscillator.
Repository to design and implement LQR control on an AUV by ECA-Group
Repository for AUV Control Optimisation using LQR Project with ECA Group
The goal of this project is to control a quadrotor to perform acrobatic moves.
Motion planning and Navigation of AGV/AMR:matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, RPP, DWA, DDPG, Bezier, B-spline, Dubins, Reeds-Shepp etc.
Optimal LQR control for drone landing using MATLAB, emphasizing strategic pole placement for precise descent.
Project for Dynamical System Theory exam - Publication for IROS 2022 Conference
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