Abstract
In this paper, we develop a tube-based economic MPC framework for nonlinear systems subject to unknown but bounded disturbances. Instead of simply transferring the design procedure of tube-based stabilizing MPC to an economic MPC framework, we rather propose to consider the influence of the disturbance explicitly within the design of the MPC controller, which can lead to an improved closed-loop average performance. This will be done by using a specifically defined integral stage cost, which is the key feature of our proposed robust economic MPC algorithm. Furthermore, we show that the algorithm enjoys similar properties as a nominal economic MPC algorithm (i.e., without disturbances), in particular with respect to bounds on the asymptotic average performance of the resulting closed-loop system, as well as stability and optimal steady-state operation.
| Original language | English |
|---|---|
| Pages (from-to) | 1237-1246 |
| Number of pages | 10 |
| Journal | Journal of process control |
| Volume | 24 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2014 |
| Externally published | Yes |
Keywords
- Economic model predictive control
- Robust model predictive control
- Set-based control
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Computer Science Applications
- Industrial and Manufacturing Engineering
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver