LAPSE:2024.1314
Published Article
LAPSE:2024.1314
Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis
Qian Xie, Haolan Xu, Jian Dang, Zhe Wang
June 21, 2024
In this paper, the low energy cost synchronization control strategy of Markovian switching complex systems/networks is mainly studied and analyzed through multiple perspectives. Firstly, in order to achieve synchronization of Markovian switching complex networks with low energy cost, a control scheme based on the optimal node selection strategy that does not depend on the network coupling strength is improved, and a finite-time controller with a simpler structure is constructed. Secondly, based on the event-triggered control strategy an effective trigger event is designed to achieve the low energy cost synchronization of Markovian switching complex networks on the basis of reducing the information transmission and interaction between networks. Finally, the two control strategies mentioned in this paper are compared and analyzed from multiple perspectives through numerical simulations to better guide practical engineering.
Keywords
complex systems/networks, event-triggered control strategy, Markovian switching, pinning control strategy
Suggested Citation
Xie Q, Xu H, Dang J, Wang Z. Low Energy Cost Synchronization Strategy for Markovian Switching Complex Systems/Networks: Multiple Perspectives Comparative Analysis. (2024). LAPSE:2024.1314
Author Affiliations
Xie Q: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China [ORCID]
Xu H: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Dang J: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Wang Z: Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
Journal Name
Processes
Volume
12
Issue
1
First Page
232
Year
2024
Publication Date
2024-01-21
Published Version
ISSN
2227-9717
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PII: pr12010232, Publication Type: Journal Article
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LAPSE:2024.1314
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doi:10.3390/pr12010232
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