Commercial Aircraft Dynamic Flight Simulation with Optimal Control
A comprehensive commercial aircraft dynamic flight simulation program implementing optimal control for longitudinal motion
MATLAB Routines for Optimal Control
MATLAB routines for optimal control implementation, serving as practical references with detailed code explanations and algorithm insights.
Inverted Pendulum Control Using LQR (Linear Quadratic Regulator) Methodology
Implementation of inverted pendulum stabilization through LQR (Linear Quadratic Regulator) optimal control approach with system modeling and controller design considerations
Implementation of Optimal Control Method
This example employs optimal control methodology using quadratic performance indices to achieve optimal values for both the sliding distance of the cart and the energy consumption throughout the process. The program includes MATLAB files: initial.m (initialization), yjlqgctr.m (controller design), cartoon.m (visualization), and Simulink model simlqgyj.slk (simulation).
Three-Axis Control and Position Control for Optimal Control of 3-DOF Helicopter
Original program for three-axis and position control in optimal control of a 3-DOF helicopter system, featuring implementation of pitch, roll, yaw stabilization algorithms and trajectory tracking mechanisms.
MATLAB Integrated Toolbox for Optimal Control
This is an integrated toolbox for optimal control in MATLAB developed by Professor Xue Dingyu, featuring extremely user-friendly implementation and comprehensive control algorithm integration.
Implementation of Model Predictive Control Using MATLAB Code
Model Predictive Control code that utilizes system modeling and optimization techniques to achieve optimal control performance through predictive input adjustments
Neural Network Control Toolbox
Neural Network Control Toolbox featuring optimal control, feedback linearization control, predictive control, and feedforward control implementations. Includes detailed documentation in readme.txt with MATLAB code examples and algorithm explanations.
Double Inverted Pendulum Model Implementation Using S-Functions
Implementation of a double inverted pendulum model using S-functions with simulation studies employing state feedback control, optimal control, and fuzzy control methodologies.
Fuzzy Control of First-Level Inverted Pendulum Using Fusion Function Approach Based on Optimal Control
Fuzzy control implementation for a first-level inverted pendulum utilizing a fusion function concept grounded in optimal control theory, with Simulink-based simulation and parameter analysis.