PID neural networks for time-delay systems

PID neural network (PIDNN) is a new kind of networks. It consists of three layers and its hidden layer's units are proportional (P), integral (I) and derivative (D) neurons. PIDNN's weights are adjusted by the back-propagation algorithms and it perform a perfect function in process control. In this paper, we introduce PIDNN structure and algorithm and give examples in which PIDNN is used to control time-delay systems.