Distributed event-triggered scheduling in networked interconnected systems with sparse connections

This paper is concerned with the problem of distributed event-triggered scheduling for a class of interconnected systems with limited coupling connections. Different from the existing studies, in the considered interconnected system, each remote control station is allowed to retrieve event-triggered...

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Veröffentlicht in:Neurocomputing (Amsterdam) Jg. 400; S. 420 - 428
Hauptverfasser: Guan, Yanpeng, Ping, Guonan, Zheng, Wei Xing, Yao, Huijuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 04.08.2020
Schlagworte:
Cardinality constraint
Event-triggered transmission
Mixed-integer programming
Networked interconnected systems
Sparse structure
Networked interconnected systems
Event-triggered transmission
Sparse structure
Mixed-integer programming
Cardinality constraint
ISSN:0925-2312, 1872-8286
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Beschreibung
Zusammenfassung:This paper is concerned with the problem of distributed event-triggered scheduling for a class of interconnected systems with limited coupling connections. Different from the existing studies, in the considered interconnected system, each remote control station is allowed to retrieve event-triggered sampled-data from interacting control stations, while the number of coupling communication connections is upper bounded in a κ-sparse sense rather than permanently fixed. The distributed event-triggered scheduling problem subject to such a cardinality constraint is nontrivial due to its combinatorial nature. Different from the existing l1 norm based iterative convexification approach, a direct design approach based on mixed-integer programming is proposed to handle the cardinality constraint. Furthermore, an explicit κ-sparse distributed scheduling algorithm is designed for the networked interconnected system via the Lyapunov functional method and some matrix manipulations. The proposed approach is finally applied to a three-machine power system to illustrate its effectiveness.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2019.04.080