ArticleACS omega2025
Data-Driven Diagnosis of Model-Plant Mismatch in MIMO Closed-Loop Control System.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Control performance of a multivariable closed-loop control system greatly depends on the quality of the process model used in the controller design. Thus, it is highly desirable that the discrepancy between the process model and the plant can be measured. In this study, a novel methodology is proposed for model-plant mismatch diagnosis based on an internal model control framework. The outputs are first whitened, and the external disturbance model is identified. A process model residual measuring the process model-plant discrepancy is put forward based on the identified disturbance model and the control model. Three model quality indices are defined to monitor the model qualities for the overall process, individual outputs, and specific input-output channels. This presented methodology can identify the mismatched subchannels and isolate the model-plant mismatch from the changes in controller parameters. The capability of the presented methodology is demonstrated using a simulated column process and a Tennessee Eastman benchmark problem.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.