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May 31, 2026Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering0 citations

Robust multi-group consensus via fixed-time dynamic event-triggered control with variable-exponent super-twisting algorithm

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SMSanjoy MondalMPMadhumita Pal

Key Points

  • The study aims to achieve multi-group consensus in multi-agent systems using a robust fixed-time dynamic control framework.
  • Utilized a fixed-time dynamic event-triggered control framework for multi-agent systems under disturbances.
  • Implemented a variable-exponent super-twisting algorithm on nonlinear sliding manifolds to improve resilience.
  • Conducted comparative numerical studies against traditional sliding mode and event-triggered approaches.
  • Demonstrated significant communication savings compared to conventional methods.
  • Achieved enhanced resilience against uncertainties and faster convergence rates.
  • Reduced chattering effects in control signals.

Abstract

This paper uses a fixed-time (FxT) dynamic event-triggered control(DETC) framework to study distributed multi leader-follower multi-group consensus for multi-agent systems(MASs) under disturbances. A normalized state-dependent variable-exponent (SDVE) design, which avoids the conservative tuning associated with constant-exponent techniques and modifies the convergence rate online in accordance with the system evolution, enforces FxT convergence. To improve resilience against matching uncertainties and external perturbations, a variable-exponent super-twisting algorithm (VSTA) is devised on nonlinear sliding manifolds. In order to facilitate simultaneous intra-group agreement and inter-group coordination while tracking different leader trajectories, agents are divided into several groups and communicate over a complex-valued communication graph. The FxT control architecture incorporates a DETC mechanism that ensures consensus without constant information transmission, hence reducing communication overhead. By establishing a positive infimum of the inter-event intervals and guaranteeing global FxT group consensus using just local information, the suggested technique eliminates Zeno behavior. Comparative numerical studies with conventional sliding mode and event-triggered approaches demonstrate significant communication savings, enhanced resilience, faster convergence, and a substantial reduction in chattering.

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Cite This Study

Mondal et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd1555783ba022b6fcddchttps://doi.org/10.1177/09596518261449550
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