Simulation and Pilot Plant Trials Aid Commissioning of Neuro Self-Tuning PI Controller
暂无分享,去创建一个
Abstract The paper presents the results of a simulation study and some pilot plant trials used in assessing the performance of a neuro self-tuning PI controller to be used (eventually) at a water treatment plant. The development and training of the adaptive loop is discussed and the benefits of neuro control over fixed gain PI control are demonstrated.
[1] David E. Rumelhart,et al. Generalization by Weight-Elimination with Application to Forecasting , 1990, NIPS.
[2] S. Shah,et al. Identification for long-range predictive control , 1991 .
[3] Harris Drucker,et al. Improving generalization performance using double backpropagation , 1992, IEEE Trans. Neural Networks.