1. A method for training a control system using structured differential learning, the method comprising: analyzing, by a plurality of analyzing components, a set of features extracted from a set of input data; generating, by each analyzing component in the plurality of analyzing components, for each feature an output response regarding whether the each feature has an acceptable value associated therewith relative to a value of a parameter associated with the each analyzing component; associating a confidence score with the each output response; combining each output response and each confidence score into a single final output response and single final confidence score; and identifying, based at least on the confidence score, which analyzing component in the plurality of analyzing components is a strongest candidate for generating an incorrect final output response.