Residence time regulation in chemical processes: Local optimal control realization by differential neural networks

Tatyana Poznyak, Isaac Chairez, Alexander Poznyak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer International Publishing AG, part of Springer Nature 2018. A new method to design local optimal controller for uncertain system governed by continuous flow transformations (CFT) is presented. The on-line solution of the adaptive gains adjusting a linear control form yields the calculus of the sub-optimal controller. A special performance index, oriented to solve the transient evolution of CFT systems, is proposed. The class of systems considered in this study is highly uncertain: some components of chemical reactions are no measurable on line and then, they cannot be used in the controller realization. The recovering of this information was executed by a differential neural network (DNN) structure. The ozonation process of a single contaminant (as the particular example of CFT) is evaluated in detail using the control design proposed here.
Original languageAmerican English
Title of host publicationResidence time regulation in chemical processes: Local optimal control realization by differential neural networks
Pages745-756
Number of pages669
ISBN (Electronic)9783319925363
DOIs
StatePublished - 1 Jan 2018
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2019 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10878 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/19 → …

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Poznyak, T., Chairez, I., & Poznyak, A. (2018). Residence time regulation in chemical processes: Local optimal control realization by differential neural networks. In Residence time regulation in chemical processes: Local optimal control realization by differential neural networks (pp. 745-756). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10878 LNCS). https://doi.org/10.1007/978-3-319-92537-0_85