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Titel:

Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Capone, Alexandre; Brüdigam, Tim; Hirche, Sandra
Stichworte:
coman, Stochastic processes, Uncertainty, Symbols, Optimal control, Computational modeling, Closed loop systems, Autonomous systems,data-driven control, machine learning, reinforcement learning, statistical learning, stochastic processes, uncertain systems; networked control system, scheduling design, event-triggered control, wireless communication
Zeitschriftentitel:
IEEE Transactions on Automatic Control
Jahr:
2024
Seitenangaben Beitrag:
1-15
Volltext / DOI:
doi:10.1109/tac.2024.3433988
Verlag / Institution:
Institute of Electrical and Electronics Engineers (IEEE)
Print-ISSN:
0018-9286
E-ISSN:
0018-92861558-25232334-3303
Publikationsdatum:
01.01.2024
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