* Upcoming papers  
 
 
 
 
Subject Keyword Abstract Author
 
 
Decentralized Event-triggered Stability Analysis of Neutral-type BAM Neural Networks with Markovian Jump Parameters and Mixed Time Varying Delays

M. Syed Ali, R. Vadivel, and Ohmin Kwon*
International Journal of Control, Automation, and Systems, vol. 16, no. 3, pp.983-993, 2018

Abstract : "This paper investigates decentralized event-triggered stability analysis of neutral-type BAM neural networks with Markovian jump parameters and mixed time varying delays. We apply the decentralized event triggered approach to the bidirectional associative memory (BAM) neural networks to reduce the network traffic and the resource of computation. A bidirectional associative memory neural networks is constructed with the mixed time varying delays and Markov process parameters. The criteria for the asymptotically stability are proposed by using with the Lyapunov-Krasovskii functional method, reciprocal convex property and Jensen’s inequality. Stability condition of neutral-type BAM neural networks with Markovian jump parameters and mixed delays is established in terms of linear matrix inequalities. Finally three numerical examples are given to demonstrate the effectiveness of the proposed results-Sugeno (T-S) descriptor systems affected by sensor, actuator and external disturbances simultaneously. An"

Keyword : Neural networks, event-triggered communication scheme, linear matrix inequality, Lyapunov-

Download PDF : Click this link

 
 
 
 
 .
Business License No.: 220-82-01782