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状态量化的非线性网络化系统的H-infinity控制
引用本文:戴建国,崔宝同.状态量化的非线性网络化系统的H-infinity控制[J].控制与决策,2011,26(1):65-70.
作者姓名:戴建国  崔宝同
作者单位:江南大学通信与控制工程学院,江苏,无锡,214122
基金项目:教育部科学技术研究重点项目
摘    要:鉴于网络数字通信的特点,研究非线性网络化系统的状态量化反馈H<,∞>控制问题.首先.同时考虑到网络的诱导时延、数据丢包和信号量化,建立闭环系统的采样模型:然后,结合区问时滞分割法,将其转化为状态中附加两个时滞变量的分段连续模糊系统;再利用时滞系统方法和对数壁化器的扇形界格式,对闭环模糊系统进行了H<,∞>性能分析和H<...

关 键 词:网络控制系统  T-S模糊模型  量化反馈控制  时滞分割  对数量化器
收稿时间:2009/10/19 0:00:00
修稿时间:2009/12/28 0:00:00

H∞ control of nonlinear networked systems with state quantization
DAI Jian-guo,CUI Bao-tong.H∞ control of nonlinear networked systems with state quantization[J].Control and Decision,2011,26(1):65-70.
Authors:DAI Jian-guo  CUI Bao-tong
Affiliation:(College of Communications and Control Engineering, Jiangnan University, Wuxi 214122, China.)
Abstract:

The ??H∞ control problem of nonlinear networked systems with state quantization owing to the digital
communication characteristic of network is investigated. Firstly, with simultaneous consideration of network-induced
delays, data packet dropouts and signal quantization, the sampled-data model of closed-loop system is formulated. Then
a piecewise continuous fuzzy system with two additive delay components in the state is developed by applying the interval
time-varying delay partitioning approach. Subsequently, by using the delay system approach and the sector bound method
of logarithmic quantizer, the ??∞ performance analysis and ??∞ controller synthesis are solved for the closed-loop fuzzy
system accordingly. Finally, a simulation example shows the availability of the proposed method.

Keywords:

Networked control systems (NCSs)|T-S fuzzy model|Time-delay systems|Quantized feedback control|Delay partitioning|Logarithmic quantizer

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