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Robust synchronization analysis of delayed fractional order neural networks with uncertain parameters
AIMS Mathematics 2022, 7(10): 18883-18896
Published: 15 October 2022
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This paper is concerned with the robust synchronization analysis of delayed fractional order neural networks with uncertain parameters (DFNNUPs). Firstly, the DFNNUPs drive system model and response system model are established. Secondly, using multiple matrix quadratic Lyapunov function approach and inequality analysis technique, the robust synchronization conditions are derived in the form of the matrix inequalities. Finally, the correctness of the theoretical results is verified by an example.

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