Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen–Grossberg Neural Networks with Discontinuous Activations

This paper investigates the qualitative behavior of a new class of fuzzy Cohen–Grossberg neural networks with discontinuous neuron activations and mixed delays. Roughly speaking, some novel sufficient conditions are established in order to demonstrate the global dissipativity and the exponential lag synchronization of the considered model by using the theory of Filippov systems and Lyapunov method. Finally, two examples are presented to show the effectiveness of the obtained results.