Performance monitoring of control systems using likelihood methods

被引:108
作者
Tyler, ML
Morari, M
机构
[1] CALTECH,PASADENA,CA 91125
[2] ETH ZURICH,AUTOMAT CONTROL LAB,CH-8092 ZURICH,SWITZERLAND
关键词
performance monitoring; diagnosis; likelihood ratio; stochastic control;
D O I
10.1016/0005-1098(96)00058-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
Evaluating deterioration in performance of control systems using closed-loop operating data is addressed. A framework is proposed in which acceptable performance is expressed as constraints on the closed-loop transfer function impulse response coefficients. Using likelihood methods, a hypothesis test is outlined to determine if control deterioration has occurred. The method is applied to a simulation example as well as data from an operational distillation column, and the results are compared to those obtained using minimum variance estimation approaches. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码:1145 / 1162
页数:18
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