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Distributed aperiodic model predictive control for multi-agent systems
Ist Teil von
IET control theory & applications, 2015-01, Vol.9 (1), p.10-20
Ort / Verlag
The Institution of Engineering and Technology
Erscheinungsjahr
2015
Link zum Volltext
Quelle
Wiley Online Library
Beschreibungen/Notizen
In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.