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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| Published in: | Neurocomputing (Amsterdam) Vol. 400; pp. 420 - 428 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
04.08.2020
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| Subjects: | |
| ISSN: | 0925-2312, 1872-8286 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| ISSN: | 0925-2312 1872-8286 |
| DOI: | 10.1016/j.neucom.2019.04.080 |