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- W3023778757 abstract "Most process controllers are linear and do perform well when they are optimally tuned. However, the presence of nonlinearities in a process can affect the control performance adversely, e.g., valve stiction may cause oscillations; other nonlinearities e.g. due to process operating conditions change, may render the current tuning parameters as ‘non-optimal’ and so on. For this reason a data-based quantification of process nonlinearity is useful. A new Total Nonlinearity Index (TNLI) is defined to quantify nonlinearities. The method is based on a better estimation of the bicoherence with less number of spurious peaks. The previously published Non-Gaussianity Index (NGI) and Nonlinearity Index (NLI) are modified to overcome their limitations. The efficacy of the proposed indices has been shown using two illustrative examples and one simulation example. Copyright ©2006 IFAC" @default.
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- W3023778757 date "2007-01-01" @default.
- W3023778757 modified "2023-09-28" @default.
- W3023778757 title "Linear or Nonlinear? A Bicoherence Based Metric of Nonlinearity Measure" @default.
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- W3023778757 doi "https://doi.org/10.1016/b978-008044485-7/50104-4" @default.
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