Memory-aware event-triggered bipartite synchronisation of signed fractional RC–Schmitt oscillator networks

We develop a memory-aware event-triggered framework for structurally balanced networks of Schmitt-trigger relaxation oscillators whose storage branch is represented by a constant-phase element. The hybrid circuit model yields Caputo dynamics of order α∈(0,1] and, under weak signed coupling, admits a circuit-informed reduction to a signed Sakaguchi–Kuramoto network with α-dependent coupling gain and phase lag. A gauge transformation converts the balanced signed graph into its absolute graph. Exact frequency locking is established for the zero-lag model on a cohesive set, while nonzero phase lag and effective-frequency mismatch lead to explicit practical synchronisation bounds. For identical effective frequencies, the gauge disagreement decays exponentially and produces two π-separated phase groups in the original coordinates. The communication layer uses a reset transmission error together with an event-local fractional-memory term, a minimum dwell guard, and an anti-staleness timeout. A positive inter-event-time bound rules out Zeno behaviour, and a sample-and-hold perturbation analysis shows that disagreement-energy decay is preserved outside an explicit tube. Phase-level numerical experiments illustrate frequency entrainment, cohesive bipartite locking, event-count sensitivity, and node-wise triggering times.

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Publication Details

Journal
International Journal of Systems Science
Published
2026-10-13
DOI
https://doi.org/10.1080/00207721.2026.2745917
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Memory-aware event-triggered bipartite synchronisation of signed fractional RC–Schmitt oscillator networks

Suresh Rasappan, Sathish Kumar Kumaravel, Regan Murugesan, Kala Raja Mohan
International Journal of Systems Science
Neural Networks Stability and Synchronization
article

Memory-aware event-triggered bipartite synchronisation of signed fractional RC–Schmitt oscillator networks

Suresh Rasappan, Sathish Kumar Kumaravel, Regan Murugesan, Kala Raja Mohan
article en

Abstract

We develop a memory-aware event-triggered framework for structurally balanced networks of Schmitt-trigger relaxation oscillators whose storage branch is represented by a constant-phase element. The hybrid circuit model yields Caputo dynamics of order α∈(0,1] and, under weak signed coupling, admits a circuit-informed reduction to a signed Sakaguchi–Kuramoto network with α-dependent coupling gain and phase lag. A gauge transformation converts the balanced signed graph into its absolute graph. Exact frequency locking is established for the zero-lag model on a cohesive set, while nonzero phase lag and effective-frequency mismatch lead to explicit practical synchronisation bounds. For identical effective frequencies, the gauge disagreement decays exponentially and produces two π-separated phase groups in the original coordinates. The communication layer uses a reset transmission error together with an event-local fractional-memory term, a minimum dwell guard, and an anti-staleness timeout. A positive inter-event-time bound rules out Zeno behaviour, and a sample-and-hold perturbation analysis shows that disagreement-energy decay is preserved outside an explicit tube. Phase-level numerical experiments illustrate frequency entrainment, cohesive bipartite locking, event-count sensitivity, and node-wise triggering times.

International Journal of Systems Science
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), University of Technology and Applied Sciences - Ibra (OM), University of Technology and Applied Sciences — Ibri (OM)
Openalex Percentile: Top 11%
Neural Networks Stability and Synchronization
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