Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
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Updated
Jul 23, 2023 - MATLAB
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
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
LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot
Modelling and control of a railway vehicle active suspension system to improve the reduction in vibrations in the vehicle.
Optimal Control and Trajectory Tracking for the Ballbot (Nagarajan et al. 2014)
Calculates an optimal LQR controller for a noisy inverted pendulum and simulates the result.
Solves the Riccati differential equation for the finite-horizon linear quadratic regulator.
A two-wheel self-balancing robot based on the Arduino micro-controller using LQR System
Optimized control of QUARC helicopter
Simulation in which a quadcopter system is controlled by a LQR-I discrete-time controller to track a trajectory.
LQR and LQG control for gantry crane with 2 connected masses
Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking
Hybrid control system using LQR and hardware in loop
Possibility of a decentralized controller and associated communication savings is investigated for speed control of a string of moving vehicles using sparse linear quadratic regulator (LQR).
modeling system dynamics incl. actuators and continuous / discrete controller designs in MATLAB Simulink integrated computer vision using segmentation
Model-Free Optimal Control Design Using Policy Iteration for LQR Problems - MATLAB
Simple example of a finite-horizon LQR in continuous time
Linear System Theory NTNU. Two term projects: Helicopter lab and boat lab
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