Inverted Pendulum Full-State Observer Design and Simulation
Implementing Inverted Pendulum Full-State Observer Design through Simulation in MATLAB/Simulink Environment with Code Implementation Details
Explore MATLAB source code curated for "倒立摆" with clean implementations, documentation, and examples.
Implementing Inverted Pendulum Full-State Observer Design through Simulation in MATLAB/Simulink Environment with Code Implementation Details
Linear Single Inverted Pendulum Fuzzy Control - Graduate Thesis with Source Code and Reference Materials
Implementation of Linear Quadratic Regulator (LQR) controller for inverted pendulum stabilization using Simulink's control design and simulation capabilities
Developed a comprehensive Simulink model for an inverted pendulum system and implemented a classical PID controller with parameter tuning optimization
MATLAB implementation of fuzzy logic control for inverted pendulum systems, featuring practical applications and code demonstrations
This program implements sliding mode variable structure control for inverted pendulum systems, experimentally validated on a double inverted pendulum with successful debugging and correct operation. The control algorithm features robust stability against uncertainties and external disturbances.
LQR inverted pendulum control simulation based on the standard state-space equation x=Ax+Bu, y=Cx+Du. The qiuk.m file utilizes MATLAB's lqr function to compute the optimal control gain matrix K, which is then implemented in the fangzhen.m simulation file (with K pre-loaded) to generate stabilization curves for the inverted pendulum system.
MATLAB source code for simulating a first-order inverted pendulum system, featuring a vertical cantilever-pendulum configuration with mathematical modeling and control system implementation
Control strategies and simulation implementation for simple pendulum and inverted pendulum systems in both 2D and 3D environments (Requires MATLAB 7.0 for execution)
MATLAB simulation of inverted pendulum dynamics using numerical methods like Euler and Runge-Kutta algorithms