Cissy Yang
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New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
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Journal:MATHEMATICAL PROBLEMS IN ENGINEERING

Key Words:TIME-VARYING DELAYS; BIDIRECTIONAL ASSOCIATIVE MEMORIES; ROBUST STABILITY; ASYMPTOTIC STABILITY; SYS

Abstract:The exponential stability problem is considered in this paper for discrete-time switched BAM neural networks with time delay. The average dwell time method is introduced to deal with the exponential stability analysis of the systems for the first time. By constructing a new switching-dependent Lyapunov-Krasovskii functional, some new delay-dependent criteria are developed, which guarantee the exponential stability. A numerical example is provided to demonstrate the potential and effectiveness of the proposed algorithms.

Indexed by:Development research

Document Code:000320513800001

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:2013

Page Number:1-9

ISSN No.:1024123X 15635147

Translation or Not:no

CN No.:null

Date of Publication:2013-12-31

Included Journals:SCI

Links to published journals:https://doi.org/10.1155/2013/141592

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Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

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Date of Employment:2014-01-20

School/Department:可靠性与系统工程学院

Business Address:为民楼334

Gender:Female

Contact Information:82314879

Status:Employed

Academic Titles:教授

Other Post:国防重点实验室主任助理

Alma Mater:南京理工大学

Discipline:Control Science and Engineering

Honors and Titles:

军队科技进步奖二等奖  2009

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