2012 ©
             Publication
Journal Publication
Research Title Mixed H-infinity and Passivity Analysis for Neural Networks with Mixed Time-Varying Delays via Feedback Control 
Date of Distribution 16 March 2018 
Conference
     Title of the Conference The International MultiConference of Engineers and Computer Scientists 2018 
     Organiser International Association of Engineers (IAENG) 
     Conference Place The Royal Garden Hotel, Kowloon 
     Province/State Hong Kong 
     Conference Date 14 March 2018 
     To 16 March 2018 
Proceeding Paper
     Volume 2018 
     Issue
     Page 607-612 
     Editors/edition/publisher  
     Abstract The problem of mixed H-infinity and passivity analysis for neural networks with mixed time-varying delays which consist of discrete and distributed time-varying delays via feedback control is investigated. Based on designing feedback controller and constructing a Lyapunov-Krasovskii functional (LKF) comprising novel integral terms, the neural networks system is exponentially stable satisfying mixed H1 and passivity performance. Moreover, improved Jensen inequalities and convex combination idea are utilized to derive sufficient conditions in terms of linear matrix inequalities (LMIs). A numerical example is employed to demonstrate the effectiveness of the proposed method. 
Author
595020036-6 Miss SUNISA LUEMSAI [Main Author]
Science Master's Degree

Peer Review Status ไม่มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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