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In this paper, the problem of secure H∞ filtering for nonlinear networked systems subject to multiple cyber-attacks (MCAs) is studied. The nonlinear characteristics of the system is constructed by the interval type-2 fuzzy model. In addition, to improve the utilisation of network resources and alleviate the impact of MCAs, a multicoupled data dynamic event-triggered scheme based on multi-time data is proposed, and the triggering error can be adjusted by an adaptive law. Then, aiming at the problem of effective attack interval of denial of service attacks affected by sampling period, a novel MCAs framework is established. Besides, the joint design conditions of the secure fuzzy filter gains and the event-triggered parameters are constructed, and the exponential mean square stable of the fuzzy switching filtering error system is guaranteed. Finally, the superiority of the proposed design method is verified by the nonlinear tunnel diode circuit system.
Liu et al. (Mon,) studied this question.