Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation-Reference-Cited by-同舟云学术

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Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation

Published:2019-09 Issue: Volume:128 Page:488-495
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Paulen Radoslav,Fikar Miroslav

Funder

Scientific Grant Agency

Slovak Research and Development Agency

European Commission

ERDF

Slovak Ministry of Education, Science, Research and Sport

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference39 articles.

1. Adaptive model predictive control for constrained nonlinear systems;Adetola;Syst. Control Lett.,2009

2. Extents of reaction and flow for homogeneous reaction systems with inlet and outlet streams;Amrhein;AIChE J.,2010

3. Toward fast dynamic optimization: an indirect algorithm that uses parsimonious input parameterization;Aydin;Ind. Eng. Chem. Res.,2018

4. Adjoint sensitivity analysis for differential-algebraic equations: the adjoint dae system and its numerical solution;Cao;SIAM J. Scientif. Comput.,2003

5. Set-theoretic approaches in analysis, estimation and control of nonlinear systems;Chachuat;IFAC-PapersOnLine,2015

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2. A Dynamic Real-Time Optimization Strategy for the Tennessee Eastman Benchmark;2023-11-01

3. Optimal control and the Pontryagin's principle in chemical engineering: History, theory, and challenges;AIChE Journal;2022-06-08

4. Entropy generation rate minimization for steam methane reforming reactor heated by molten salt;Energy Reports;2020-11

5. Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS;Computers & Chemical Engineering;2020-09

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