Abstract
The issue of robust dissipativity for delayed memristor-based inertial neural networks is studied in this article. By employing some famous inequalities, the results on global dissipativity and global robust dissipativity of the delayed memristor-based inertial neural networks are obtained via generalized Lyapunov functional method. Moreover, the positive invariant sets and globally attractive sets of the discussed system are also given. Without making the variable transformation, the second order functional differential system is investigated directly, which is different from the previous works. Finally, some examples and their numerical simulations are shown to corroborate the effectiveness of obtained results.
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