Nonlinear control scheme for general decay projective synchronization of delayed memristor-based BAM neural networks

Publication date: Available online 15 May 2019Source: NeurocomputingAuthor(s): Abdujelil Abdurahman, Haijun JiangAbstractIn this paper, we have made an effort to investigate the general decay projective synchronization (GDPS) problem of a type of delayed memristor-based BAM neural networks. First, we introduced a type of novel nonlinear controller. Then, we derived some sufficient conditions ensuring the GDPS of considered networks by employing differential inclusion theory and using well-known Lyapunov functional method. Lastly, an example is given to show the correctness of obtained results. To the authors’ knowledge, the results derived in this paper are the only available ones on the projective synchronization of BAM neural networks, combining the three main factors, i.e., memristor, general decay and time-varying delays.
Source: Neurocomputing - Category: Neuroscience Source Type: research