Dissipative Filter Design for Takagi-Sugeno Fuzzy Neural Networks

被引：0

作者：

Lee, Kyu-Chul ^{[1
]}

Choi, Hyun-Duk ^{[1
]}

Kim, Dae-Ki ^{[1
]}

Ahn, Choon-Ki ^{[1
]}

Lim, Myo-Taeg ^{[1
]}

机构：

[1] Korea Univ, Dept Elect Engn, Seoul 133791, South Korea

来源：

2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2015年

关键词：

Dissipative filtering; Takagi-Sugeno fuzzy Hopfield neural network; Linear matrix inequality(LMI); TIME-DELAY SYSTEMS; STABILITY ANALYSIS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a novel dissipative filter for Takagi-Sugeno fuzzy Hopfield neural networks with time varying delay. This filter guarantees (Q, S, R)-alpha-dissipativity and is regarded as a generalization of some performance indices, such as H-infinity, performance, passivity, and mixed H-infinity/passivity. The linear matrix inequality (LMI) approach solving convex problem is used to obtain a gain matrix satisfying both (Q, S, R)-alpha-dissipativity and asymptotic stability of the error system. Some simulations are dealt with to validate the performance of the proposed method.

引用

页码：181 / 185

页数：5

共 15 条

[1]

Ahn C. K., 2015, IEEE T AUTOMAT CONTR

[2] Dissipativity analysis for fixed-point interfered digital filters [J].

Ahn, Choon Ki ;

Shi, Peng .

SIGNAL PROCESSING, 2015, 109 :148-153

[3]

Ahn CK, 2011, NEURAL PROCESS LETT, V34, P59, DOI 10.1007/s11063-011-9183-z

[4] An H∞ approach to stability analysis of switched Hopfield neural networks with time-delay [J].

Ahn, Choon Ki .

NONLINEAR DYNAMICS, 2010, 60 (04) :703-711

[5] Neural network a"⟨a chaos synchronization [J].

Ahn, Choon Ki .

NONLINEAR DYNAMICS, 2010, 60 (03) :295-302

[6] Stability analysis of uncertain fuzzy Hopfield neural networks with time delays [J].

Ali, M. Syed ;

Balasubramaniam, P. .

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2009, 14 (06) :2776-2783

[7]

Brogliato B., 2007, Theory and Applications, V2, P2

[8] α-Dissipativity analysis of singular time-delay systems [J].

Feng, Zhiguang ;

Lam, James ;

Gao, Huijun .

AUTOMATICA, 2011, 47 (11) :2548-2552

[9]

Gu K., 2003, BIRKHAUSER

[10] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS [J].

HOPFIELD, JJ .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10) :3088-3092

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