具有数据丢失的网络化控制系统的基于观测器的镇定  

Observer-based Stabilization of Networked Control Systems with Data Dropout

作　　者：张小美[1] 郑毓蕃[2] 陆国平[3] 

机构地区：[1]南通大学理学院,江苏南通226007 [2]华东师范大学计算机科学技术系,上海200062 [3]南通大学电气工程学院,江苏南通226007

出　　处：《模糊系统与数学》2007年第3期152-158,共7页Fuzzy Systems and Mathematics

基　　金：国家自然科学基金(60474076);江苏省高等学校自然科学基金(04KJB510105);南通大学自然科学基金(05Z001)

摘　　要：研究具有数据丢失的网络化控制系统的基于观测器的镇定问题。受控对象是由T-S模糊模型描述的非线性时滞系统。把数据丢失过程建模成独立同分布过程。利用模糊Lyapunov函数方法得到了闭环系统随机稳定的充分条件,其基于观测器的反馈控制器可通过求解一组线性矩阵不等式来设计。一个仿真例子说明方法的有效性。This paper deals with the problem of observer-based stabilization of networked control systems（NCSs） with transmitted data dropout. In the NCS under consideration, the plant is a timedelay nonlinear system that is represented by a Takagi-Sugeno（T-S） time-delay fuzzy system. The dropout process is modeled as an identically independently distributed process. Based on a fuzzy Lyapunov function method, a sufficient condition for the solvability of the problem is given. The observer and controller are constructed by solving a set of LMIs. A simulation example is provided to demonstrate the effectiveness of the proposed methods.

关 键 词：网络化控制系统 数据丢失 时滞模糊系统 模糊LYAPUNOV函数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]