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

Aydin, Erdal; Sundmacher, Kai

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

Aydin, E., & Sundmacher, K. (2016). Dynamic Optimization of Constrained Semi-Batch Processes using Pontryagin's Minimum Principle-An Effective Quasi-Newton based Approach. Talk presented at AIChE Annual Meeting 2016. San Francisco, USA. 2016-11-13 - 2016-11-18.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-4058-D Version Permalink: https://hdl.handle.net/21.11116/0000-0003-E19A-1

Genre: Talk

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Creators:
Aydin, Erdal^{1, 2}, Author
Sundmacher, Kai^{1, 3}, Author

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
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Language(s): eng - English

Dates: Created: 2016

Publication Status: Not specified

Pages: 1

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Rev. Type: Peer

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Title: AIChE Annual Meeting 2016

Place of Event: San Francisco, USA

Start-/End Date: 2016-11-13 - 2016-11-18

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