T-S FUZZY MODEL-BASED MEMORY CONTROL FOR DISCRETE-TIME SYSTEM WITH RANDOM INPUT DELAY

被引：0

作者：

Liu, J. ^{[1
,2
]}

Gu, Z. ^{[4
]}

Han, H. ^{[3
]}

Hu, S. ^{[5
]}

机构：

[1] Nanjing Univ Finance & Econ, Dept Appl Math, Nanjing 210046, Jiangsu, Peoples R China

[2] Donghua Univ, Coll Informat Sci, Shanghai 201620, Peoples R China

[3] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[4] Nanjing Normal Univ, Nanjing 210042, Jiangsu, Peoples R China

[5] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China

来源：

IRANIAN JOURNAL OF FUZZY SYSTEMS | 2011年 / 8卷 / 03期

关键词：

Memory control; Fuzzy system; Random input delay; Discrete-time system; H-INFINITY CONTROL; GUARANTEED COST CONTROL; STABILITY; STABILIZATION; DESIGN; STATE;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A memory control for T-S fuzzy discrete-time systems with stochastic input delay is proposed in this paper. Different from the common assumptions on the time delay in the existing literatures, it is assumed in this paper that the delays vary randomly and satisfy some probabilistic distribution. A new state space model of the discrete-time T-S fuzzy system is derived by introducing some stochastic variables satisfying Bernoulli random binary distribution and using state augmentation method, some criterion for the stochastic stability analysis and stabilization controller design are derived for T-S fuzzy systems with stochastic time-varying input delay. Finally, a numerical example is given to demonstrate the effectiveness and the merit of the proposed method.

引用

页码：67 / 79

页数：13