ITCRI: An Interactive Software Tool for Control-Relevant Identification Education

Abstract This paper describes the theoretical basis, features, and functionality of an I nteractive T ool for C ontrol R elevant I dentification (ITCRI). ITCRI captures the control-relevant identification process, from input design to closed-loop control, depicting these stages simultaneously and interactively in one screen. Control-relevance in ITCRI is accomplished primarily through prefiltering, which is evaluated using single-pass and two-step algorithms. By displaying both open- and closed-loop responses of the estimated models and important control-relevant validation criteria, ITCRI enables the user to readily assess how design variable choices, control performance requirements and model error can impact the achievable closed-loop performance from a restricted complexity model estimated under noisy conditions.