Abstract
AbstractA novel finite‐time synchronization design is developed for uncertain delayed neural networks with event‐triggered mechanisms and input quantizations. Initially, an error model is established which characterizes the effects of the event triggering scheme and quantization within a unified framework. Under such a synchronization model, some matrix inequality‐based sufficient conditions for the existence of the finite‐time synchronization is deduced by using Lyapunov functional approach and free‐weighting matrix techniques. Additionally, utilizing variable separation approach, a co‐design algorithm for the suitable finite‐time synchronization controller and event‐triggered matrix parameter are derived in terms of the feasibility of linear matrix inequalities. Besides, an example is illustrated to verify the effectiveness of the proposed method.
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