核心概念
Adaptive Economic Model Predictive Control ensures performance guarantees for linear systems.
要約
The article introduces an Adaptive Economic Model Predictive Control (AE-MPC) scheme for linear systems with uncertainties and disturbances. It combines economic optimization with online model adaptation to improve performance. The paper discusses theoretical guarantees for both asymptotic and transient performance. A numerical example of building temperature control demonstrates the benefits of AE-MPC over traditional Economic MPC.
I. Introduction
- Model Predictive Control (MPC) overview.
- Challenges with traditional MPC strategies.
II. Related Work
- Economic MPC formulations for various applications.
- Theoretical results on economic MPC performance.
III. Contribution
- Proposal of an Adaptive Economic MPC scheme.
- Description of the AE-MPC formulation.
IV. Theoretical Analysis
- Asymptotic and transient performance guarantees.
- Theoretical bounds under different disturbance scenarios.
V. Numerical Example
- Model setup and simulation details.
- Comparison of AE-MPC and E-MPC performance.
VI. Conclusion
- Summary of the proposed AE-MPC scheme.
- Future research directions.
統計
The proposed AE-MPC scheme improves over traditional Economic MPC.
The parameter update gain is µ = 5 · 10^-5.
The disturbances are bounded by a constant ¯w.
引用
"We demonstrate the performance benefits of the proposed AE-MPC scheme."