Lagrange stability analysis for quaternion-valued memristive neural networks
Zhengwen Tu, Liangwei Wang, Tao Peng, Liangliang Li, Babatunde Oluwaseun Onasanya · 2019
This paper considers the Lagrange stability of delayed quaternion-valued memristive neural networks(QVMNNs). By virtue of the direct approach, Lyapunov theory and inequality techniques, some succinct criteria are proposed to guarantee the QVMNNs to be global exponential stable(GES) in Lagrange sense. Meanwhile, two numerical examples are presented to elucidate the validity of theory results.