Network-Based Adaptive Multievent-Triggered Fuzzy Dynamic Positioning Controller Design for Unmanned Surface Vehicles Against Denial-of-Service Attacks
Cheng Peng, Chengming Zhang, Wei Xie, Weidong Zhang, Shuping He
Abstract
This article focuses on the issue of adaptive multievent-triggered fuzzy dynamic positioning control of unmanned surface vehicles against denial-of-service attacks within a finite-time interval. To improve the data transmission efficiency, an innovative adaptive multievent-triggered mechanism is designed to dynamically adjust the event-triggered thresholds. Especially, the asynchrony between the membership functions of the controller and that of the system is embedded into the adaptive multievent-triggered mechanism, which can help to reduce the conservatism of controller design attributed to mismatched membership functions. By employing the linear matrix inequality technology, sufficient conditions are derived to ensure that the switched closed-loop fuzzy dynamic positioning system is finite-time bounded with an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${\mathcal {H}}_{\infty }$</tex-math></inline-formula> noise attenuation performance. To clarify the validity of the presented positioning controller under the adaptive multievent-triggered mechanism and denial-of-service attacks, we provide and analyze the simulation results.