Projective Synchronization Control of Delayed Recurrent Neural Networks with Markovian Jumping Parameters

This letter focuses on the projective synchronization control of delayed recurrent neural networks with Markovian jumping parameters. The jumping parameters are modeled as continuous-time finite-state Markov chain. Based on the Lyapunov functional method and linear matrix inequality (LMI) approach, a novel control method is given. Simulations with matlab verify the effectiveness of the methods.

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