Name
Title | ||
|---|---|---|
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components. |
Abstract | ||
|---|---|---|
In this paper, we investigate the dissipativity and passivity of Markovian jump stochastic neural networks involving two additive time-varying delays. Using a Lyapunov-Krasovskii functional with triple and quadruple integral terms, we obtain delay-dependent passivity and dissipativity criteria for the system. Using a generalized Finsler lemma (GFL), a set of slack variables with special structure ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNNLS.2016.2608360 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Neural networks,Delays,Additives,Delay effects,Markov processes,Linear matrix inequalities | Passivity,Slack variable,Markov process,Computer science,Matrix (mathematics),Control theory,Stochastic neural network,Numerical analysis,Artificial neural network,Lemma (mathematics) | Journal |
Volume | Issue | ISSN |
28 | 12 | 2162-237X |
Citations | PageRank | References |
9 | 0.46 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| g nagamani | 1 | 62 | 8.08 |
| t radhika | 2 | 21 | 2.00 |
| Quanxin Zhu | 3 | 1100 | 67.69 |