Finite-time boundedness and stabilization of uncertain switched delayed neural networks of neutral type

In this paper, we investigate the finite-time boundedness (FTB) and finite-time stabilization (FTS) of uncertain switched delayed neural networks of neutral type. Some sufficient conditions are derived in terms of linear matrix inequalities (LMIs) to guarantee the FTB and FTS of the uncertain delayed switched neural networks of neutral type by using the multiple Lyapunov-Krasovskii functional, free-weighting matrix method, and average dwell time (ADT) methods, which are dependent on both the transmission delay and time delay in neutral term. Moreover, a state feedback controller is designed via the established LMIs. Finally, two examples are given to illustrate the effectiveness of the main results.