Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Condition: New. 2019. New. paperback. . . . . .
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 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.
paperback. Condition: New.
Condition: New. In English.
Condition: New. 2019. New. paperback. . . . . . Books ship from the US and Ireland.
Condition: Brand New. 124 pages. German language. In Stock.
Condition: NEW.
Seller: Gazelle Books, Lancaster, LANCA, United Kingdom
Paperback. Condition: New. New Book, Direct from Publisher.
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. 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.