## Abstract This work focuses on a class of nonlinear control problems that arise when new control systems which may use networked sensors and/or actuators are added to already operating control loops to improve closedβloop performance. In this case, it is desirable to design the preβexisting contr
β¦ LIBER β¦
Model Predictive Statistical Process Control of Chemical Plants
β Scribed by McAvoy, Thomas
- Book ID
- 124084337
- Publisher
- American Chemical Society
- Year
- 2002
- Tongue
- English
- Weight
- 253 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0888-5885
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This paper describes an application of multivariate statisticai methods with the aim to improve the production of titanium dioxide at Kronos Titan AS. Multivariate statisticai methods were used to make a PLS model of one process stage. This model was then used to predict the product quality as a fun