Distributed data-driven event-triggered secure consensus control of MASs: A global preset-time performance constraint method

Abstract

This paper addresses the distributed data-driven event-triggered secure consensus control issue for model-free multi-agent systems (MASs) under sensor faults and denial-of-service (DoS) attacks, while satisfying prescribed performance constraints. First, a global preset-time performance function (PTPF) is constructed to guarantee the global stability of model-free MASs within the preset time. The proposed PTPF ensures that the preset time remains unaffected by variations in the sampling period. Second, a proportional-integral-derivative (PID) sliding surface is designed to enhance MAS performance regulation, while a novel generalized fuzzy hyperbolic model (GFHM) is constructed to eliminate the dependency on fault information and achieve high-accuracy estimation of unknown fault signals. Third, a hybrid event-triggered mechanism integrating both dynamic and memory features is developed to optimize communication resource utilization while guaranteeing robust performance at extremes. Furthermore, an event-triggered secure control scheme leveraging the memory feature is proposed to reduce communication overhead while avoiding the dangerous open-loop scenario, where control inputs must be zeroed under DoS attacks as in the existing methods. Finally, the stability proof together with simulations confirms the feasibility of the control strategy.