Uncertainty-aware Integration of Control with Process Operations and Multi-parametric Programming Under Global Uncertainty
This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread a...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Springer Theses, Recognizing Outstanding Ph.D. Research
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Thesis Background
- Parametric Optimisation: 65 Years of Developments and Status Quo
- Multi-parametric Linear and Mixed Integer Linear Programming Under Global Uncertainty
- Towards Exact Multi-setpoint Explicit Controllers for Enterprise Wide Optimisation
- Open-loop Integration of Planning, Scheduling and Optimal Control: Overview, Challenges and Model Formulations
- Closed-loop Integration of Planning, Scheduling and Multi-parametric Nonlinear Control
- A Hybrid Framework for the Uncertainty-aware Integration of Planning, Scheduling and Explicit Control
- Conclusions and Future Work