l-l state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol.

In this paper, the l-l state estimation problem is addressed for a class of delayed artificial neural networks under high-rate communication channels with Round-Robin (RR) protocol. To estimate the state of the artificial neural networks, numerous sensors are deployed to measure the artificial neural networks. The sensors communicate with the remote state estimator through a shared high-rate communication channel.