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Semi-intrusive multivariable model invalidation
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DOI：10.1016/S0005-1098(03)00118-3.png)
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摘要
En 中文
This paper introduces a mechanism for testing multivariable models employed by model-based controllers. Although external excitation is not necessary, the data collection includes a stage where the controller is switched to open-loop operation (manual mode). The main idea is to measure a certain distance between the closed-loop and the open-loop signals, and then trigger a flag if this distance is larger than a threshold level. Moreover, a provision is made for accommodating model uncertainty. Since no hard bounds are assumed with respect to the noise amplitude, the model invalidation mechanism works in a probabilistic framework. (C) 2003 Elsevier Ltd. All rights reserved.
Keyword:
model invalidation
performance monitoring
model-based control
multivariable control systems
stochastic noise
model uncertainty
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期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
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