Graph-Theoretic Approach to Finite-Time Synchronization for Fuzzy Cohen–Grossberg Neural Networks with Mixed Delays and Discontinuous Activations

• Published in: Neural processing letters Vol. 52; no. 1; pp. 905 - 933
• Main Authors: Xu, Dongsheng, Xu, Chengqiang, Liu, Ming
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2020; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Complex Systems; Computational Intelligence; Computer Science; Control systems; Euclidean space; Feedback control; Fuzzy logic; Graph theory; Money markets; Neural networks; State feedback; Time synchronization; Finite-time synchronization; Switching state-feedback control; Distributed delays; Fuzzy Cohen–Grossberg neural networks

This paper investigates finite-time synchronization for fuzzy Cohen–Grossberg neural networks (FCGNNs) with mixed delays and discontinuous activations via state-feedback control. The features of FCGNNs, discrete time delays, distributed delays and discontinuous activations are taken into account whi...