https://github.com/roscibely/offline-output-feedback-mpc-lpv
Offline output feedback robust anti-windup MPC-LPV using relaxed LMI optimization
https://github.com/roscibely/offline-output-feedback-mpc-lpv
anti-windup control mpc mpc-control offline offline-mpc predictive-control
Last synced: 2 months ago
JSON representation
Offline output feedback robust anti-windup MPC-LPV using relaxed LMI optimization
- Host: GitHub
- URL: https://github.com/roscibely/offline-output-feedback-mpc-lpv
- Owner: roscibely
- Created: 2021-03-09T14:45:16.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-24T13:58:07.000Z (almost 2 years ago)
- Last Synced: 2025-03-27T18:52:30.133Z (3 months ago)
- Topics: anti-windup, control, mpc, mpc-control, offline, offline-mpc, predictive-control
- Language: MATLAB
- Homepage: https://doi.org/10.1016/j.ejcon.2022.100719
- Size: 28.3 KB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Offline output feedback robust Anti-Windup MPC-LPV using relaxed LMI optimization
## Package required:
📍[YALMIP](https://yalmip.github.io/)
📍[SEDUMI](https://yalmip.github.io/solver/sedumi/)
## How to run:
```matlab
numerical_example.m
```
Run the [main file](https://github.com/roscibely/Offline-output-feedback-robust-Anti-Windup-MPC-LPV-LMI/blob/main/numerical_example.m)
---
## Publication
Rosana C.B. Rego, Marcus V.S. Costa,
[Offline output feedback robust anti-windup MPC-LPV using relaxed LMI optimization,](https://doi.org/10.1016/j.ejcon.2022.100719)
European Journal of Control,
Volume 69,
2023,
100719,
ISSN 0947-3580.
**Abstract**: This paper addresses a new technique of constrained output feedback robust model predictive control (RMPC) with anti-windup (AW) synthesis adopting linear parameter varying state-space (LPV-SS) systems via relaxed linear matrix inequalities (LMI) procedure. We proposed an output feedback control design with a conservatism reduction, including a robust AW-LPV synthesis to solve the robust stability under saturated signal control mode. Lyapunov stability functions through the LPV emphasis are considered. To evaluate the efficiency of the proposed method, we presented a time response analysis, closed-loop z-plane, worst-case upper bound, and we compared the performance of the proposed method with some MPC benchmarks using a numerical example.