Anti-Projective Synchronization of Fuzzy Neural Networks with Markovian Jump and Impulse Communication

The anti-projection synchronization (APS) of leader-follower fuzzy neural networks (FNNs) is researched. The description of network dynamic characteristics by fuzzy rules and Markovian chain is more general. An impulse communication mechanism is proposed to reduce the communication load. Under the received state information in impulsive instant, a reliable controller is designed. By the parameters- Liapunov function analyzed and matrix linearization, sufficient conditions are used to ensure the stability of the APS error(APSE) and solve the controller gains. In the simulation example, the effectiveness of the controller is proved.