Adaptive Fault-Tolerant Consensus Tracking Control of Stochastic High-Order MASs Under FDI Attacks
Xinfeng Shao, Dan Ye, Xingang Zhao
Abstract
This article studies the adaptive fault-tolerant consensus tracking control problem for a class of stochastic nonlinear high-order MASs under stochastic FDI attacks. Based on the FLSs and backstepping design technique, a novel adaptive fuzzy fault-tolerant consensus tracking control strategy is proposed to guarantee that the closed-loop stochastic high-order MASs are semi-globally stable in probability via stochastic Lyapunov stability theory and It <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\hat{o}$</tex-math></inline-formula> lemma. In order to relieve the communication pressure of MASs, a novel high-order dynamic event-triggered mechanism (DETM) based on user-set parameters is developed. Compared with the traditional event-triggered mechanism, this DETM has larger triggering time intervals, effectively reduces communication frequency, and has greater flexibility in balancing system performance and communication bandwidth resource constraints. Finally, the actual simulation and comparative simulation are given to verify the effectiveness and superiority of the proposed scheme.