Self-triggered nonlinear model predictive control for networked control systems
2015 (English)In: Proceedings of the American Control Conference, IEEE conference proceedings, 2015, 4239-4244 p.Conference paper (Refereed)
In this paper, we propose a self-triggered formulation of Model Predictive Control for continuous-time nonlinear networked control systems. Our control method derives not only when to execute control tasks but also provides the way to discretize the optimal control trajectory so as to alleviate the communication burden as much as possible. Stability analysis under the sample-and-hold implementation is also given in detail, which guarantees that the state converges to a terminal region where the local linear state feedback can stabilize the system. A simulation example verifies our proposed framework.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 4239-4244 p.
Continuous time systems, Control systems, Feedback, Model predictive control, Predictive control systems, State feedback, Control methods, Nonlinear model predictive control, Nonlinear networked control systems, Optimal controls, Sample and hold, Simulation example, Stability analysis, Terminal regions, Networked control systems
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-176112DOI: 10.1109/ACC.2015.7171995ISI: 000370259204057ScopusID: 2-s2.0-84940936752ISBN: 9781479986842OAI: oai:DiVA.org:kth-176112DiVA: diva2:874730
2015 American Control Conference, ACC 2015, 1 July - 3 July 2015
QC 201511272015-11-272015-11-022016-03-29Bibliographically approved