Name
Title | ||
|---|---|---|
Extended Dissipativity Analysis of Delayed Memristive Neural Networks Based on A Parameter-Dependent Lyapunov Functional |
Abstract | ||
|---|---|---|
This paper is concerned with extended dissipativity analysis of memristive neural networks with time-varying delays. Using the characteristic function technique, a tractable model of a memristive neural network is obtained. This model is similar to a neural network with polytopic uncertain synaptic weights, enabling us to construct a parameter-dependent Lyapunov functional. By combining this functional and some integral inequalities, a novel extended dissipativity criterion is obtained in terms of linear-matrix-inequalities, where different Lyapunov matrices are used for each form of the memristive neural network. Through a numerical example, this criterion is shown to be less conservative than the one based on a common Lyapunov functional. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ANZCC.2018.8606585 | 2018 Australian & New Zealand Control Conference (ANZCC) |
Keywords | DocType | ISBN |
time-varying delays,characteristic function technique,memristive neural network,parameter-dependent Lyapunov functional,novel extended dissipativity criterion,extended dissipativity analysis,delayed memristive neural networks | Conference | 978-1-5386-6618-0 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengda Lu | 1 | 12 | 4.26 |
| Xian-Ming Zhang | 2 | 0 | 1.01 |
| Min Wu | 3 | 3582 | 272.55 |
| Qing-Long Han | 4 | 17 | 3.22 |
| Yong He | 5 | 3691 | 220.49 |