This paper focuses on the problem of decentralized event-based dynamic output feedback adaptive fuzzy control for a class of interconnected stochastic nonlinear systems. In order to relax the Lipschitz condition for the nonlinearity, a novel dynamic gain observer is constructed to estimate the unmeasured state variables. The funnel-like control technique is proposed to ensure that the output of each subsystem satisfies the prescribed performance requirement. To save energy in signal transmission, the controller and its triggered mechanism are codesigned based on backstepping method. By using the approximation theory of fuzzy logic systems, an unknown continuous function is approximated, and the difficulty caused by unmodeled dynamics is removed with the aid of changing supply function idea. By applying the Lyapunov stability theory, it is proved that all the signals of the resulting closed-loop system with the designed controller are bounded in probability. Finally, simulation results are given to verify the effectiveness of the theoretical results.

中文翻译：

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随机非线性系统的基于事件的动态输出反馈自适应模糊控制

本文重点研究一类相互关联的随机非线性系统的分散式基于事件的动态输出反馈自适应模糊控制问题。为了放松非线性的 Lipschitz 条件，构建了一个新的动态增益观测器来估计未测量的状态变量。提出了漏斗状控制技术，以确保每个子系统的输出满足规定的性能要求。为了在信号传输中节省能量，控制器及其触发机制基于反步法进行了代码设计。利用模糊逻辑系统的逼近理论，对未知连续函数进行逼近，并借助改变供给函数思想，消除未建模动力学带来的困难。应用李雅普诺夫稳定性理论，证明了所设计的控制器所得到的闭环系统的所有信号都是有界的。最后给出仿真结果验证理论结果的有效性。