|
|
Title: |
Robust Dynamic Optimization and Control of Semi-Batch Processes under Parametric Uncertainties |
| Series: |
Aachener Verfahrenstechnik Series – Process Systems Engineering |
Search Result:
| By (author): |
Jennifer Puschke |
| ISBN10-13: |
3958862721 : 9783958862722 |
| Format: |
Paperback |
| Pages: |
124 |
| Weight: |
.188 Kg. |
| Published: |
Verlag G. Mainz - March 2019 |
| List Price: |
43.99 Pounds Sterling |
| Availability: |
Temporarily Out of Stock, more expected soon
|
| Subjects: |
|
| Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry. However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations. In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work. Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties. |
|
|
Item added to 
.png "Click here for catalogues")
