Based on these two models, we propose an associative search algorithm for fault diagnosis and apply it to a control system. At last, the simulation results are given out. 基于这两种模型,我们提出了一种用于故障诊断的联想搜索网络,并把它应用于一个锅炉给水装置的控制系统故障诊断上,最后给出了计算机的仿真结果。
Aiming at adaptive control problems of a sort of nonlinear system, model reference adaptive control based on reinforcement learning is proposed. The controller uses adaptive heuristic critic algorithm, which consists of two elements: adaptive critic element, associative search element. 提出了一种基于强化学习的模型参考自适应控制方法,控制器采用自适应启发评价算法,它由两部分组成:自适应评价单元及联想搜索单元。