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基于平均驻留时间方法的网络化系统的模糊控制 被引量:2

Fuzzy Control for Networked Systems via Average Dwell-time Method
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摘要 本文研究了存在数据丢失的网络化系统的动态输出反馈模糊控制问题,其中受控对象为由T-S模糊模型描述的非线性系统.基于网络中数据丢失的情况和广义平行分布补偿算法提出了切换模糊控制器,相应的闭环系统为由两个模糊子系统构成的切换模糊系统.利用模糊李亚普诺夫方法和平均驻留时间方法分析了闭环系统的稳定性.在此基础上,设计了使网络化系统渐近稳定的切换模糊控制器.最后,以搅拌反应釜的网络化控制为例验证了理论结果的适用性. This paper is concerned with the problem of dynamic output feedback fuzzy control for networked systems subject to data dropout. The plant is a nonlinear system described by a T-S fuzzy model. A switching fuzzy controller is presented based on the data dropout status in the network and generalized parallel distributed compensation technique. The resulting closed- loop system is a switched system composed of two fuzzy subsystems. The stability analysis of the closed-loop system is first proposed by using a fuzzy Lyapunov function approach and an average dwell-time method. The switching fuzzy controller is then designed for the asymptotic stability of the networked control system. Finally, the applicability of the developed theoretical result is illustrated by networked control of a stirred tank reactor.
出处 《工程数学学报》 CSCD 北大核心 2013年第2期184-196,共13页 Chinese Journal of Engineering Mathematics
基金 国家自然科学基金(61174065)~~
关键词 网络化系统 模糊控制 数据丢失 平均驻留时间 networked systems fuzzy control data dropout average dwell-time
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