Safe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamics

Zewen Yang, Xiaobing Dai, Liang Fang, Jiajia Zhou, Zheping Yan

Abstract: Highlights•Gaussian process for capturing model uncertainties and environmental disturbances.•Learning-based event-triggered control using GPs for robust stabilization.•Formal control performance guarantees while preventing Zeno behavior.•Resilient event-triggered communication mitigating DoS attacks on networked USV.•Rigorous stability analysis based on the condition for DoS duration and frequency.•Empirical validation through Monte Carlo simulations and comparative studies.•Superiority of our approach over time-triggered methods in robustness and efficiency.•Detailed implementation guidance provided for practical deployment.