Further discussion of Hopfield neural network based DC drive system identification and control

In (Wang Lei et al., 1999) a Hopfield neural network (HNN) based linear system parameter identification scheme is discussed under the assumption that HNN inputs are the detected system states delayed by sensors. In (Wang Lei et al., 1999) the Hopfield neural network (HNN) is used for model reference adaptive controller design and its convergence character is proved. In (Wang Lei et al., 1999) the HNN is used for multi-variable system controller design. In all these papers, the derived scheme is used for identification and control of AC and DC drive systems. The simulation results prove the validity of the scheme. In this paper, the general framework of DC drive system identification and control is given. The simulation results are generally discussed.