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As planned, this is the second part of the MPC series. To dealing with multivariable, state-space model is most convenient. In this part, a tool to setup the state-space model based predictive controller is provided. The setup program returns a function handle for the online MPC controller.
The online controller is implemented as a nested function, hence the internal model, internal states, control parameters are all stored inside of the workspace of the setup program so that the interface of the online controller is significantly simplified.
A 2-CSTR example is included to demonstrate the usage of this tool.
The tool also provides an example for beginners to learn how to use nested function to replace persistent variables.
Citation pour cette source
Yi Cao (2026). MPC Tutorial II: Multivariable and State Space MPC V2.0 (https://fr.mathworks.com/matlabcentral/fileexchange/19650-mpc-tutorial-ii-multivariable-and-state-space-mpc-v2-0), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
Inspiré par : Model-based Predictive Control: A Practical Approach, MPC Tutorial I: Dynamic Matrix Control
A inspiré : MPC Tutorial III: MPC in Simulink V2, MPC Tutorial IV - State Space MPC with input increment
Informations générales
- Version 1.1.0.0 (36,5 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.1.0.0 | A bug removed. Now different output can follow different setpoint properly. |
||
| 1.0.0.0 |
