NEW PASSIVITY ANALYSIS OF CONTINUOUS-TIME RECURRENT NEURAL NETWORKS WITH MULTIPLE DISCRETE DELAYS Academic Article

abstract

• In this paper, by using some analytic techniques, several suffcient conditions are given to ensure the passivity of continuous-time recurrent neu-ral networks with delays. The passivity conditions are presented in terms of some negative semi-definite matrices. They are easily verifiable and easier to check computing with some conditions in terms of complicated linear matrix inequality.

authors

• Huang, Tingwen

published proceedings

• JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION

author list (cited authors)

• Zeng, Z., & Huang, T.

citation count

• 5

complete list of authors

• Zeng, Zhigang||Huang, Tingwen

publication date

• May 2011

publisher

• American Institute of Mathematical Sciences (AIMS)  Publisher

published in

• Journal of Industrial and Management Optimization  Journal

keywords

• Delays
• Linear Matrix Inequality
• Negative Semi-definite Matrix
• Neural Networks
• Passivity

Digital Object Identifier (DOI)

• 10.3934/jimo.2011.7.283

start page

• 283

end page

• 289

volume

• 7

issue

• 2

URL

• http://dx.doi.org/10.3934/jimo.2011.7.283