For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper. Fuzzy logic systems are implemented to construct an observer, which approximates the unknown nonlinear function in the controller. In light of backstepping control technique and event-triggered mechanism, a decentralized adaptive fuzzy control approach is proposed to compensate for the effects of actuator faults. When the triggering condition is satisfied, the communication burden can be reduced. Moreover, the whole signals of the closed-loop system are semiglobally uniformly ultimately bounded and Zeno behavior can be successfully excluded. Furthermore, the outputs of subsystems can track the desired reference signals. Finally, some simulation results are utilized to testify the effectiveness of the proposed control scheme.

中文翻译：

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非线性大规模系统的基于观测器的事件触发自适应分散模糊控制

针对一类具有不可测状态的非严格反馈结构的大规模非线性系统，本文研究了一种基于事件触发机制的自适应分散模糊控制策略。模糊逻辑系统被实现来构建一个观察器，它近似于控制器中的未知非线性函数。根据反步控制技术和事件触发机制，提出了一种分散自适应模糊控制方法来补偿执行器故障的影响。当满足触发条件时，可以减少通信负担。此外，闭环系统的整个信号是半全局一致最终有界的，可以成功排除芝诺行为。此外，子系统的输出可以跟踪所需的参考信号。