Successive lag synchronization on dynamical networks: A perspective

Synchronization plays a crucial role in complex dynamical networks, ensuring coordinated behaviors among interconnected nodes. Successive lag synchronization (SLS) is a distinctive synchronization type characterized by sequential synchronization between adjacent nodes with a fixed time delay. SLS specifically addresses scenarios with precisely structured and ordered interactions, presenting potential applications such as drone formations during military parades, autonomous vehicle platooning, and sequential industrial processes. Despite its theoretical and practical significance, systematic exploration of SLS remains limited, primarily due to challenges in ensuring stability across diverse dynamical networks and handling complex time delay disturbances. This Perspective provides a brief review of SLS, clearly defining its unique features, systematically analyzing stability considerations and implementation methods across various dynamical networks using both continuous and discontinuous controllers. Additionally, specific algorithms and control-free strategies for achieving SLS are discussed. Finally, this Perspective highlights key open issues and suggests promising future research directions.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-30
DOI
https://doi.org/10.1209/0295-5075/adcd26/pdf
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00
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article

Successive lag synchronization on dynamical networks: A perspective

Springer Link (Chiba Institute of Technology)
Neural Networks Stability and Synchronization
article

Successive lag synchronization on dynamical networks: A perspective

article en

Abstract

Synchronization plays a crucial role in complex dynamical networks, ensuring coordinated behaviors among interconnected nodes. Successive lag synchronization (SLS) is a distinctive synchronization type characterized by sequential synchronization between adjacent nodes with a fixed time delay. SLS specifically addresses scenarios with precisely structured and ordered interactions, presenting potential applications such as drone formations during military parades, autonomous vehicle platooning, and sequential industrial processes. Despite its theoretical and practical significance, systematic exploration of SLS remains limited, primarily due to challenges in ensuring stability across diverse dynamical networks and handling complex time delay disturbances. This Perspective provides a brief review of SLS, clearly defining its unique features, systematically analyzing stability considerations and implementation methods across various dynamical networks using both continuous and discontinuous controllers. Additionally, specific algorithms and control-free strategies for achieving SLS are discussed. Finally, this Perspective highlights key open issues and suggests promising future research directions.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 48%
Neural Networks Stability and Synchronization
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Successive lag synchronization on dynamical networks: A perspective · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS