%0 Journal Article
%T Real-Time Expert Self-Learning Algorithm for Regulator Gains (Large)
专家式控制参数实时自学习算法(LARGE)
%A Tian Hua
%A Jiang Weisun
%A
田华
%A 蒋慰孙
%J 自动化学报
%D 1992
%I
%X By means of more detailed and faithful simulation of the heuristic process where the expert assign the regulator gains, an advanced real-time expert-like self-learning algorithm has been developed. The first problem solved is how to recognize the pattern of a transient process and extract its features from sequentially sampled regulation error data corrupted by various noises and disturbances. The second is how to map those features which reflect various properties of the essential feedback regulation system onto the regulator gains for further improvement of its performances.
%K Real-time pattern recognition
%K real-time production systems
%K frame representation
%K regulator self-settling
%K repetitive learning
算法
%K 模式识别
%K 自学习
%K 专家系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=EAF922C09F46EAE8C8FA363970D35B2C&yid=F53A2717BDB04D52&vid=13553B2D12F347E8&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=5D311CA918CA9A03&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=1