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.
|Number of pages||10|
|Journal||IEEE Transactions on Systems, Man, and Cybernetics: Systems|
|Publication status||Published - 1 Jul 2015|
- Global robust synchronization
- memristive neural networks (MNNs)
- nonlinear coupling
- pinning adaptive coupling