Model-Based Measures

  • Paweł D. DomańskiEmail author
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 245)


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.


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Authors and Affiliations

  1. 1.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarsawPoland

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