Reachable Set Estimation of Memristive Inertial Neural Networks

This study investigates the reachable set estimation (RSE) issues for delayed memristive inertial neural networks (MINNs) subject to bounded disturbances. By employing nonreduced-order method and reduced-order method, novel algebraic conditions are derived to estimate the reachable sets of the considered MINNs. The analysis reveals that each method is applicable under different conditions. In contrast to the previous RSE results, the proposed methods yield tighter bounded estimations. Finally, a comparative experiment is conducted to verify the corresponding findings.