Mean Square Stabilization of Neural Networks with Weighted Try once Discard Protocol and State Observer

摘要

This paper investigates mean square stabilization problem of neural networks with weighted try once discard protocol and state observer. In general, sensor nodes access conflict happens frequently in the communication transmission networks. Aiming at this problem, we have adopted weighted try once discard protocol (WTOD) to reduce the occurrence of the conflict, The strategy is applied to discontinuous time systems, and only one node can obtain the access token to update signal transmission for the network. In addition, data transmission in the channel is large -scale and packet loss often occurs . Therefore, we adopt the method of quantized signal to reduce the pressure of channel transmission and ensure the stability of network transmission. As the system state is difficult to obtain, this paper design an observer to estimate the system state, the purpose of this paper is to guarantee the system to achieve the mean square stabilization with bounded output via the action of observer of signal output and controller, then solve the optimization problem of inequality through group of reasonable parameters of the controller and the observer. Finally, an example is given to prove the effectiveness of the proposed controller and observer.