Event-Triggered Synchronization Control of Uncertain Neutral-Type Neural Networks With Time-Varying Delays and Actuator Saturation

A class of event-triggered synchronization control of uncertain neutral-type neural networks (NTNNs) with time-varying delays and actuator saturation is discussed in this paper. We propose a novel NTNNs model by combining it with an event-triggered mechanism (ETM), actuator saturation and uncertainty. The ETM is introduced to determine whether the sampled signals should be transmitted to controller or not and actuator saturation is considered due to the complex network environment in reality. With the aid of proper Lyapunov-Krasovskii functional (LKF), some sufficient conditions for asymptotic stability of synchronization error system are derived and the gain of the controller is obtained by using linear matrix inequality (LMI) and free-weight matrix (FWM) methods. Finally, we use Euler-Maruyama numerical mechanism to simulate the drive-response systems and the error system, which shows the good convergence performance of our synchronization model. Two numerical examples in the end of this paper demonstrate the effectiveness of the proposed method.