Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling
Shaofu Yang, Zhenyuan Guo, Jun Wang · IEEE Transactions on Systems Man and Cybernetics Systems · 2015
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.