Robust Synchronization of Multiple Memristive Neural Networks with Uncertain Parameters via Nonlinear Coupling
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 7018050 |
| Pages (from-to) | 1077-1086 |
| Journal / Publication | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
| Volume | 45 |
| Issue number | 7 |
| Publication status | Published - 1 Jul 2015 |
| Externally published | Yes |
Link(s)
Abstract
This paper is concerned with the global robust synchronization of multiple memristive neural networks (MMNNs) with nonidentical uncertain parameters. A coupling scheme is introduced, in a general topological structure described by a direct or undirect graph, with a linear diffusive term and a discontinuous sign term. First, a set of sufficient conditions are derived based on the Lyapunov stability theory for ascertaining global robust synchronization of coupled MMNNs. Second, a pinning adaptive coupling method is proposed to ensure global synchronization without knowing the bound of parameter uncertainties. Two illustrative examples are discussed to substantiate the theoretical results.
Research Area(s)
- Global robust synchronization, memristive neural networks (MNNs), nonlinear coupling, pinning adaptive coupling
Citation Format(s)
Robust Synchronization of Multiple Memristive Neural Networks with Uncertain Parameters via Nonlinear Coupling. / Yang, Shaofu; Guo, Zhenyuan; Wang, Jun.
In: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 45, No. 7, 7018050, 01.07.2015, p. 1077-1086.
In: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 45, No. 7, 7018050, 01.07.2015, p. 1077-1086.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
