State Space Model of a Single Inverted Pendulum with LQR Control Implementation
Development of a state-space model for a single inverted pendulum system, implemented with Linear Quadratic Regulator (LQR) control for achieving stabilization.
Fuzzy Control and Neural Network Control for Single Inverted Pendulum Systems
Implementation of fuzzy control and neural network control strategies for single inverted pendulum systems within Simulink simulation environments. Usage note: For fuzzy controller execution, first import the *.fis file into the MATLAB workspace using the readfis() function before running the simulation to ensure proper initialization of fuzzy inference systems.
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.
Fuzzy Control of a Single Inverted Pendulum
This fuzzy control implementation for a single inverted pendulum demonstrates strong systematic design, allowing modifications to incorporate other control algorithms through parameter tuning and rule base adjustments.
LQR Control of Single Inverted Pendulum System
LQR control implementation for a single inverted pendulum system, consisting of two main components: a Simulink model and MATLAB m-file with detailed control algorithm implementation.
MATLAB Simulation of Single Inverted Pendulum System
A custom MATLAB simulation of a single inverted pendulum system implemented using M-language, featuring comprehensive control system modeling with real-time visualization and detailed data analysis capabilities
MATLAB Simulation of a Single Inverted Pendulum System
MATLAB Simulation of a Single Inverted Pendulum with Control Algorithm Implementation and Dynamic Modeling