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    Enum UnitdentWarnings

    Enum of recognized warning or error states during identification of process model

    Namespace: TimeSeriesAnalysis.Dynamic
    Assembly: TimeSeriesAnalysis.dll
    Syntax
    public enum UnitdentWarnings

    Fields

    Name Description
    ClosedLoopEst_GlobalSearchFailedToFindLocalMinima

    If this is a closed loop system where setpoints of PID-controller change, and the "global search" at step1 of the ClosedLoopIdentifier failed to find a local minima when trying different gains. This warning likely means that the linear gain can be totally off the mark and may be too low.

    ConstantInputU

    One or more inputs were constant and not identifiable, this can affect other parameters as well, and consider removing the input or using a different dataset

    CorrelatedInputsU

    Correlated inputs

    DataSetVeryShortComparedtoTMax

    The dataset is time span is very short compared to the maximal time-constant given as input to the algorithm

    DynamicModelEstimationFailed

    UnitIdentify was able to solve the given estimation problem for the linear/static case, but when adding dynamics, the estimation failed for some reason.

    NonCausalNegativeTimeConstant

    A negative time constant was returned, this is "non-causal", and could be due to a time-shift between u and y in the dataset.

    NotPossibleToIdentify

    It was not possible to identify the

    Nothing

    No errors or warnings

    ReEstimateBiasDisabledDueToNonzeroDisturbance

    If disturbance is nonzero, then re-estimation of bias is turned off

    ReEstimateBiasFailed

    Re-estimating bias method returned null, so the bias from the intial estimation is used, be careful the bias estimate may be off!

    RegressionProblemFailedToYieldSolution
    RegressionProblemNaNSolution

    Some of the parameters returned were NaN, this can happen in the input and output vectors are all constants, such as all-zero

    TimeConstantEstimateNotConsistent

    Time constant estimates vary significantly across dataset, indicating that something is wrong

    TimeConstantEstimateTooBig

    Estimation returned an enourmous time constant, this is an indication of something is wrong

    TimeConstantNotIdentifiable

    Time constant is not identifiable from dataset

    TimeDelayAtMaximumConstraint

    The time delay which gave the lowest objective function is the biggest allowed time delay

    • consider increasing this limit or if something is wrong
    TimeDelayInternalInconsistencyBetweenObjFunAndUncertainty

    When considering different time delays internally, you expect the "best" to have both the lowest objective functino and the lowest paramter uncertainty

    • but for some reason this is not the case
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