Abstract
Error localization plays a great role in modelling and in model-supported fault detection and diagnosis. Error localization includes detection and a rough quantification. A review of methods is presented. Global as well as local methods exist. An attempt is made to overcome the difficulties arising with inverse problems by using sophisticated procedures. First, onsets with modified well-posed operators are registered. These are consequently continued by applying regulatization methods which results in generalized solutions. The generalized solutions are stable and unique with minimum norm.
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