@inproceedings{34713d2d2bcc4a24a58506072d95e778,
title = "A Robust Hybrid Control Approach Tuned by PSO for Long-Time Delay Nonlinear Chemical Processes",
abstract = "This paper proposes a hybrid controller that mixes the Smith Predictor scheme along the sliding mode method and uses particle swarm optimization (PSO) to fine-tune the controller parameters. The proposed approach considers including the Taylor series approximation to put together a dead-time term as the non-invertible part and a gain for the invertible parts; in this way, the controller synthesis is simple. The performance of the designed controller is measured using the error-dependent performance indexes using a nonlinear chemical reactor with long-time delay systems. The results show that the proposed controller tuned using PSO can significantly increase the efficiency of designing robust controllers for nonlinear systems.",
author = "Marco Herrera and Benıtez, {Diego S.} and Noel P{\'e}rez-P{\'e}rez and {Di Teodoro}, Antonio and Oscar Camacho",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2023 ; Conference date: 26-07-2023 Through 28-07-2023",
year = "2024",
doi = "10.1007/978-3-031-48415-5_5",
language = "Ingl{\'e}s",
isbn = "9783031484148",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "57--71",
editor = "Orjuela-Ca{\~n}{\'o}n, {Alvaro David} and Lopez, {Jesus A} and Arias-Londo{\~n}o, {Juli{\'a}n David}",
booktitle = "Applications of Computational Intelligence - 6th IEEE Colombian Conference, ColCACI 2023, Revised Selected Papers",
}