On the Finite-Time Boundedness and Finite-Time Stability of Caputo-Type Fractional Order Neural Networks with Time Delay and Uncertain Terms

This study investigates the problem of finite-time boundedness a class neural networks Caputo fractional order with time delay and uncertain terms. New sufficient conditions are established by constructing suitable Lyapunov functionals to ensure that addressed fractional-order stable. Criteria for considered models also achieved. The obtained results based on newly developed property derivatives, properties Mittag–Leffler functions Laplace transforms. In addition, examples manifest usefulness our theoretical results.