We study the L p -saturation for the linear combination of BernsteinKantorovich operators. As a result we obtain the saturation class by using K-functional as well as some modulus of smoothness.
This paper focuses on the mean square finite‐time stability of uncertain impulsive stochastic delayed systems. By using the Lyapunov functional, linear matrix inequalities (LMIs) techniques, and the concept of the average impulsive interval, some sufficient conditions are established. The main results are applied to the neural networks. Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
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