摘要
模式识别方法本质上是一种分类方法,它不需要过程的数学模型就可做出高级决策。模式识别方法已在过程控制中的许多领域得到了应用,如非线性和分布参数系统的结构辨识、在未知环境下运行系统的控制、自适应控制、智能控制、动态建模、状态估计、优化控制、故障诊断等。本文将概述模式识别方法在以上各方面(?)情况,并指出今后可能的研究方向。
Pattern recognition methods,capable of advanced decision making without a precise description of the pro-cess model,have been used in many cases to implement advanced control systems.Such techniques have been ap-plied to structural identification of nonlinear systems and distributed parameter systems,direct control of systemsoperating in unfamiliar environments,and dynamic modelling,state estimation,optimizing,fault diagnosis,predictive control,self-tuning control,intelligent control and so on.An account of these techniques and their ap-plication to controls is given in this paper.Possible new applications of pattern recognition to process control sys-tems are suggested.
出处
《信息与控制》
CSCD
北大核心
1990年第6期30-34,共5页
Information and Control
关键词
模式识别
过程控制系统
系统辨识
process control systems
pattern recognition
system identification
state estimation
optimization
fault diagnosis
self-tuning control
intelligent control
