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Model Predictive Control or MPC is a powerful control strategy that has proven its effectiveness in various applications, such as controlling an inverted pendulum.
Implementing MPC involves understanding the basic concepts, developing a system model, defining the cost function and constraints, selecting an optimization algorithm, implementing the MPC algorithm, and fine-tuning the controller.
By following this step-by-step guide and the provided MATLAB code example, you can successfully implement an MPC controller for your system and enjoy its numerous benefits.
Cite As
Yajur Kumar (2026). Control of Inverted Pendulum in a Cart using MPC (https://www.mathworks.com/matlabcentral/fileexchange/128714-control-of-inverted-pendulum-in-a-cart-using-mpc), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (2.45 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
