Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin's Minimum Principle-An Effective Quasi-Newton Approach

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Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin's Minimum Principle-An Effective Quasi-Newton Approach

Aydin, E., Bonvin, D., & Sundmacher, K. (2017). Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin's Minimum Principle-An Effective Quasi-Newton Approach. Computers & Chemical Engineering, 99, 135-144. doi:10.1016/j.compchemeng.2017.01.019.

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Date of Discard: 2017-12-01

Comment:

Creators:
Aydin, Erdal^{1, 2}
Bonvin, Dominique³
Sundmacher, Kai^{1, 4}

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143
3Laboratoire d’Automatique, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, ou_persistent22
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

Dates: Date issued: 2017

Files: 1 File

Locators: 0 Locators

version ID: item_2395183_8

Item State: Discarded

Name of Context: Publications of the Max Planck Institute for Dynamics of Complex Technical Systems, Affiliated to: Max Planck Institute for Dynamics of Complex Technical Systems