The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper reports on the use and importance of models in the RE (Requirements Engineering) series of conferences based on the results of an analysis of the use of the word ‘model’ and of other words with ‘model…’ as their stem in the main bodies of the texts of published papers. The 620 papers examined contained 18,066 instances of these words. The words identified were divided into ‘general terms’...
This paper presents batch-to-batch iterative learning control (ILC) of a fed-batch fermentation process using batch-wise linearised models identified from process operation data. The newly obtained process operation data after each batch is added to the historical data base and an updated linearised model is adaptively identified. In an effort to adapt to the current process environment, the updated...
Agent-Based Models (ABMs) can be used to quantify future risks by projecting observable behavior into the future. This can be achieved by simulating a hypothetical longitudinal study based on cross-sectional data and estimating quantities on dynamic risks (e.g., relative hazard). Such an approach, however, requires assessment of the variation of the estimates, which would naturally have a higher variance...
An iterative learning control strategy with batch wise updated linearised models identified using principal component regression (PCR) is proposed in this paper for the supersaturation control of a batch crystallization process. Taking the immediate previous batch as the reference batch, the linearised model relates the deviations in the control profiles with the deviations in the quality variable...
This paper presents an iterative learning control strategy for a fed-batch fermentation process using linearised models identified from process operational data. Off-line calculated control policies for batch fermentation processes may not be optimal when implemented on the processes due to model plant mismatches and/or the presence of unknown disturbances. In order to overcome the effect of model...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.