NDLI: Performance assessment and monitoring of MPC with mismatch based on covariance benchmark

Content Provider	IEEE Xplore Digital Library
Author	Yuhong Wang Xuejian Wang
Copyright Year	2010
Description	Author affiliation: College of Information and Control Engineering, China University of Petroleum, Dongying, Shandong Province, China (Yuhong Wang; Xuejian Wang)
Abstract	Model predictive controller has been widely used in the industry process. Model-plant mismatch will directly affect the level of safety and economic benefits. So, Performance assessment and monitoring of MPC with mismatch is very important. A data-based covariance benchmark derived from reference is successfully illustrated for control performance assessment and monitoring the Wood-Berry tower MPC process with mismatch. Choose the outputs without mismatch as the benchmark data and the outputs with mismatch as the monitored date. The worse or better performance directions in the monitored period are identified using generalized eigenvalue analysis. A statistical inference method is further developed to obtain the confidence intervals of the eigenvalues. The covariance-based performance indices within the isolated worse and better performance subspaces are then derived to assess the performance degradation or improvement. These simulations show the feasibility and effectiveness of the method.
Starting Page	3795
Ending Page	3800
File Size	599463
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554997
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Eigenvalues and eigenfunctions Benchmark testing Performance analysis Process control MIMO Predictive models Wood-Berry tower Covariance benchmark Performance assessment and monitoring Model predictive control Statistical inference
Content Type	Text
Resource Type	Article

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