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Quasi-Projective and Mittag-Leffler Synchronization of Discrete-Time Fractional-Order Complex-Valued Fuzzy Neural Networks
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Quasi-Projective and Mittag-Leffler Synchronization of Discrete-Time Fractional-Order Complex-Valued Fuzzy Neural Networks
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Journal Article
Quasi-Projective and Mittag-Leffler Synchronization of Discrete-Time Fractional-Order Complex-Valued Fuzzy Neural Networks
2023
Overview
In this paper, we consider a type of discrete-time fractional-order complex-valued fuzzy neural networks. First, based on symbolic functions and complex-valued theory, two new inequalities are established to study synchronization problems of networks. Secondly, two simple and original control strategies including linear feedback controller and adaptive controller which can better reduce the control cost, are designed to guarantee quasi-projective synchronization and Mittag-Leffler synchronization of the considered networks, then sufficient synchronization criteria with simplified algebraic conditions are established on the basis of our established lemmas and some inequality techniques. Finally, numerical simulations are given to check effectiveness of the proposed results.
Publisher
Springer US,Springer Nature B.V
