S-functions for Fuzzy Adaptive Control of Inverted Pendulum System: Plant and Controller Implementation
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Resource Overview
This project implements MATLAB S-functions for both the plant model and fuzzy adaptive controller of an inverted pendulum system, complete with Simulink module files. The fully functional program demonstrates fuzzy adaptive control implementation using MATLAB's S-function architecture, making it valuable for research publications and practical control theory applications.
Detailed Documentation
This article presents my implementation of MATLAB S-functions for both the inverted pendulum plant model and its fuzzy adaptive controller, along with corresponding Simulink module files. The complete program fully realizes inverted pendulum functionality through fuzzy adaptive control algorithms. The implementation utilizes MATLAB's S-function framework to create customized blocks that handle the nonlinear dynamics of the pendulum system and implement adaptive fuzzy logic control rules. Readers can learn how to apply fuzzy adaptive control strategies to stabilize inverted pendulum systems, including parameter adaptation mechanisms and rule-base optimization techniques. This resource serves as a practical tool for researchers and students to better understand and apply advanced control theory concepts, with particular focus on real-time control implementation using MATLAB/Simulink environments.
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