Dynamic risk-based process design and operational optimization via multi-parametric programming-Reference-Cited by-同舟云学术

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Dynamic risk-based process design and operational optimization via multi-parametric programming

Published:2023-06 Issue: Volume:7 Page:100096
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Ali Moustafa,Cai Xiaoqing,Khan Faisal I.,Pistikopoulos Efstratios N.,Tian Yuhe

Funder

Mary Kay O'Connor Process Safety Center

West Virginia University

Energy Institute, Texas A and M University

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Chemical Engineering (miscellaneous)

Reference61 articles.

1. Model-predictive safety system for proactive detection of operation hazards;Ahooyi;AIChE J.,2016

2. Process operational safety via model predictive control: Recent results and future research directions;Albalawi;Comput. Chem. Eng.,2018

3. On the inherent robustness of optimal and suboptimal nonlinear MPC;Allan;Systems Control Lett.,2017

4. Dynamic process safety assessment using adaptive Bayesian network with loss function;Amin;Ind. Eng. Chem. Res.,2022

5. Why major accidents are still occurring;Amyotte;Curr. Opin. Chem. Eng.,2016

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