Fuzzy Model-Based Robust Networked Control for a Class of Nonlinear Systems

被引:115
|
作者
Zhang, Huaguang [1 ,2 ]
Li, Ming [3 ]
Yang, Jun [1 ]
Yang, Dedong [4 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
[2] Northeastern Univ, Key Lab Integrated Automat Proc Ind, Natl Educ Minist, Shenyang 110004, Peoples R China
[3] Ocean Univ China, Dept Automat, Qingdao 266100, Peoples R China
[4] Beijing Univ Aeronaut & Astronaut, Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Fuzzy H(infinity) control; fuzzy estimator (FE); networked control system (NCS); network-induced delay; packet dropout; H-INFINITY CONTROL; STABILITY; DELAYS; DESIGN;
D O I
10.1109/TSMCA.2008.2010787
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the robust stability of a networked control system via a fuzzy estimator (FE) is studied, where the controlled plant is a class of nonlinear systems with external disturbances, which can be represented by a Takagi-Sugeno fuzzy model. Both network-induced delay and packet dropout are concerned. In the developed control scheme, the FE is used to estimate the states of the controlled plant for the purpose of effectively reducing the network burden. Based on the limited knowledge of a controlled plant in the presence of a network, a disturbance attenuation term is also employed to attenuate the influence of modeling errors and external disturbances on the system. The sufficient condition for the robust stability with H(infinity) performance of the closed-loop system is obtained. The simulation results show the validity of the proposed control scheme.
引用
收藏
页码:437 / 447
页数:11
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