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Model-Based Measures

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Control Performance Assessment: Theoretical Analyses and Industrial Practice

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 245))

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Abstract

The measures summarized in the previous sections are defined in time domain. They use loop time series data and do not require any a priori knowledge about the loop or background process. They are fully data-driven. They all share the similar shortcut. None of them offers any distance from the measured index value to the optimal one. Thus, apart from the actual measured index value \(J_{act}\) one would require to estimate the lowest (the best achievable) limit of performance index \(J_{opt}\). It is clear that such an estimation requires more knowledge on the process and this set of the approaches is named model-driven.

Can we make a mechanical model of it?

–Lord Kelvin

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  1. Institute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland

    Paweł D. Domański

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Domański, P.D. (2020). Model-Based Measures. In: Control Performance Assessment: Theoretical Analyses and Industrial Practice. Studies in Systems, Decision and Control, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-030-23593-2_5

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