This paper investigates the problem of finite-time dynamic output feedback (DOF) control for fuzzy networked discrete-time systems. By constructing a generalized performance index, the ${\mathcal{H}}_{\infty }$ control and $l_2-l_{\infty }$ control problems are accessed under a unified framework. An adaptive event-triggered scheme (AETS) and a logarithmic quantizer are utilized to save the limited network bandwidth. Based on the Lyapunov function approach, sufficient conditions are proposed to guarantee the closed-loop system being finite-time bounded with the prescribed performance index, and the design criterion of the finite-time DOF controller is given by an exact expression. Finally, a simulation study is performed to illustrate the effectiveness of the developed method.

本文研究了模糊网络离散时间系统的有限时间动态输出反馈 (DOF) 控制问题。通过构建广义性能指标，${\mathcal{H}}_{\infty }$ 控制和 ${升}_2-{升}_{\infty }$控制问题在统一框架下访问。自适应事件触发方案 (AETS) 和对数量化器用于节省有限的网络带宽。基于李雅普诺夫函数方法，提出了保证闭环系统有限时间有界且具有指定性能指标的充分条件，并通过精确表达式给出了有限时间自由度控制器的设计准则。最后，进行仿真研究以说明所开发方法的有效性。