Experiment Strategy and Parameter Evaluation at Fuzzy Measurement of Input Variables

摘要

The measurement of input and output variables in the control objects under industrial conditions is characterized by significant errors, explained by a stochastic nature of indicator measurement (it manifests itself in the environment spatial heterogeneity, noises, etc.) and not only by the control tool metrological characteristics. The formal application of the least squares estimate method at the ill-posed assumption (in most cases it is ill-posed) leads to failures and is the main cause of the doubts engineers and researchers have in terms of the method possibilities. On the basis of the aforementioned one can make a conclusion that the considered methods are characteristic for the experiment planning as well and can be used simultaneously.