Abstract
This article concentrates on fixed-time synchronization for discontinuous fuzzy competitive neural networks including time-varying delays. Firstly, to cut down the signal transmission cost, two kinds of nontrivial control strategies, namely quantized control protocols without the linear part, are developed to investigate fixed-time synchronization of discontinuous fuzzy competitive neural networks based on two different types of Lyapunov functions. Then, with the aid of inequality skills and differential inclusion theory, several uncomplicated synchronization criteria are attained and the synchronized time possessing less conservativeness is effectively evaluated. A numerical example is presented at last to testify the validity of theoretical analysis.
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