@inproceedings{b670aead65804691890570be6d7d405f,
title = "Full State Observer Versus NARX-Based as Soft Sensor for Reactor–Separator–Recycle Process Control",
abstract = "This article describes the design of a control system for a common industrial process, the Reactor-Separator-Recycler (RSR), and the development of two estimators: a full-state observer and an artificial neural network, to estimate the concentration at the output of the Continuous Stirred Tank Reactor (CSTR) in the RSR process. For the controller design, empirical approximate models are obtained from the reaction curve via identification procedures. The estimated concentration is used to close a control loop for the CSTR. Temperature perturbation tests and initial concentration estimations at the mixing point are performed. The results show the efficiency of the neural network compared to the full-state observer.",
keywords = "Full State Observer, NARX- network, Soft Sensor",
author = "Marco Herrera and Luis Caiza and Diego Ben{\'i}tez and Noel P{\'e}rez-P{\'e}rez and Oscar Camacho and {\'A}lvaro Prado",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 8th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025 ; Conference date: 27-08-2025 Through 29-08-2025",
year = "2026",
doi = "10.1007/978-3-032-20900-9\_9",
language = "Ingl{\'e}s",
isbn = "9783032208996",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "118--132",
editor = "Orjuela-Ca{\~n}{\'o}n, \{Alvaro David\} and Lopez, \{Jesus A\} and Suarez, \{Oscar J\}",
booktitle = "Applications of Computational Intelligence - 8th IEEE Colombian Conference, ColCACI 2025, Revised Selected Papers",
}