Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency-Reference-Cited by-同舟云学术

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Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency

Published:2021-05 Issue: Volume:148 Page:107269
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Thombre Mandar^ORCID,(Joyce) Yu Zhou,Jäschke Johannes,Biegler Lorenz T.

Funder

Carnegie Mellon University

Norwegian University of Science and Technology

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference40 articles.

1. Julia: a fresh approach to numerical computing;Bezanson;SIAM Rev.,2017

2. Systematic methods for chemical process design;Biegler,1997

3. Robust model predictive control;Campo,1987

4. Efficient Robust Nonlinear Model Predictive Control via Approximate Multi-stage Programming: A Neural Networks Based Approach;Daosud,2019

5. Jump: a modeling language for mathematical optimization;Dunning;SIAM Rev.,2017

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