IEEE transactions on automatic control, 2014-04, Vol.59 (4), p.1031-1036
2014
Details
- Autor(en) / Beteiligte
- Titel
- On Feasibility, Stability and Performance in Distributed Model Predictive Control
- Ist Teil von
- IEEE transactions on automatic control, 2014-04, Vol.59 (4), p.1031-1036
- Ort / Verlag
- New York: IEEE
- Erscheinungsjahr
- 2014
- Link zum Volltext
- Quelle
- IEEE Xplore Digital Library
- Beschreibungen/Notizen
- In distributed model predictive control (DMPC), where a centralized optimization problem is solved in distributed fashion using dual decomposition, it is important to keep the number of iterations in the solution algorithm small. In this technical note, we present a stopping condition to such distributed solution algorithms that is based on a novel adaptive constraint tightening approach. The stopping condition guarantees feasibility of the optimization problem and stability and a prespecified performance of the closed-loop system.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0018-9286eISSN: 1558-2523DOI: 10.1109/TAC.2013.2285779Titel-ID: cdi_ieee_primary_6632897
- Format
- –
- Schlagworte
- Adaptive algorithms, Algorithms, Control Engineering, Controllability, Distributed model predictive control, Electrical Engineering, Electronic Engineering, Information Engineering, Elektroteknik och elektronik, Engineering and Technology, Feasibility, Feedback control, Heuristic algorithms, Mathematical models, Optimization, performance guarantee, Predictive control, Reglerteknik, Stability, Stability criteria, Teknik, Tightening