Analysis on Passivity for Uncertain Neural Networks with Time-Varying Delays | Zendy

O’Dae Kwon | Zendy; Myeongjin Park | Zendy; Ju H. Park | Zendy; Sangmoon Lee | Zendy; E. J. | Zendy

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Analysis on Passivity for Uncertain Neural Networks with Time-Varying Delays

Author(s) -

O’Dae Kwon,

Myeongjin Park,

Ju H. Park,

Sangmoon Lee,

E. J.

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/602828

Subject(s) - passivity , artificial neural network , control theory (sociology) , regular polygon , mathematics , convex optimization , linear matrix inequality , matrix (chemical analysis) , mathematical optimization , computer science , engineering , control (management) , artificial intelligence , materials science , geometry , electrical engineering , composite material

The problem of passivity analysis for neural networks with time-varying delays and parameter uncertainties is considered. By the consideration of newly constructed Lyapunov-Krasovskii functionals, improved sufficient conditions to guarantee the passivity of the concerned networks are proposed with the framework of linear matrix inequalities (LMIs), which can be solved easily by various efficient convex optimization algorithms. The enhancement of the feasible region of the proposed criteria is shown via two numerical examples by the comparison of maximum allowable delay bounds

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