Practical Economic MPC
Author:
Affiliation:
1. IMT School for Advanced Studies Lucca 55100Lucca Italy
2. Faculty of Electrical Engineering and Information Technology TU Dortmund University Germany
3. Department of Engineering Cybernetics NTNU Norway
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.202000216
Reference31 articles.
1. D. Angeli R. Amrit and J.B. Rawlings. On average performance and stability of economic model predictive control. IEEE Trans. Automat. Contr. 57(7):1615–1626 2012.
2. D. Angeli and M.A. Müller. Economic model predictive control: Some design tools and analysis techniques. In Handbook of Model Predictive Control pages 145–167. Springer 2019.
3. J. De Schutter M. Zanon and M. Diehl. TuneMPC - A Tool for Economic Tuning of Tracking (N)MPC Problems. IEEE Control Systems Letters 2020. submitted.
4. M. Diehl R. Amrit and J.B. Rawlings. A Lyapunov function for economic optimizing model predictive control. IEEE Trans. Automat. Contr. 56(3):703–707 2011.
5. M. Diehl R. Findeisen F. Allgöwer H.G. Bock and J.P. Schlöder. Nominal Stability of the Real-Time Iteration Scheme for Nonlinear Model Predictive Control. IEE Proc.-Control Theory Appl. 152(3):296–308 2005.
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