Fuzzy logic derivation of neural network models with time delays in subsystems

被引：79

作者：

Chen, CY

Hsu, JRC

Chen, CW ^{[1
]}

机构：

[1] Shu Te Univ, Dept Logist Management, Kaohsiung 824, Taiwan

[2] Natl Sun Yat Sen Univ, Dept Marine Enviromn & Engn, Kaohsiung 80424, Taiwan

来源：

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2005年 / 14卷 / 06期

关键词：

time delays in subsystems; fuzzy model;

D O I：

10.1142/S021821300500248X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper extends the Takagi-Sugeno (T-S) fuzzy model representation to analyze the stability of interconnected systems in which there exist time delays in subsystems. A novel stability criterion which can be solved numerically is presented in terms of Lyapunov's theory for fuzzy interconnected models. In this paper, we use linear difference inclusion (LDI) state-space representation to represent the fuzzy model. Then, the linear matrix inequality (LMI) optimization algorithm is employed to find common solution and then guarantee the asymptotic stability.

引用

页码：967 / 974

页数：8

共 16 条

[1]

Boy S., 1994, Linear MatrixInequalities in System and Control Theory

[2] Stability analysis and synthesis of nonlinear time-delay systems via linear Takagi-Sugeno fuzzy models [J].