@inproceedings{85ba224dda7d4e3e803984fdf1ef872b,
title = "Closed-loop system identification of restricted complexity models using iterative refinement",
abstract = "A novel technique for identifying reduced-order models in the closed-loop is presented. The method arrives at a process model and its corresponding compensator in an iterative fashion by introducing a series of step changes at the manipulated variable. The bias introduced into the identification data set by the closed-loop system, coupled with a control-relevant prefilter, yields a model whose corresponding control system improves its performance at every step. The method is appealing to chemical engineering practitioners because it combines the tasks of system identification with controller commissioning to produce a simple-to-use yet reliable autotuning procedure.",
author = "Daniel Rivera and Saurabh Bhatnagar",
year = "1993",
doi = "10.23919/acc.1993.4793226",
language = "English (US)",
isbn = "0780308611",
series = "American Control Conference",
publisher = "Publ by IEEE",
pages = "1993--1994",
booktitle = "American Control Conference",
note = "Proceedings of the 1993 American Control Conference Part 3 (of 3) ; Conference date: 02-06-1993 Through 04-06-1993",
}