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X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
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UID:MEC-36e7e1795f0af462cc534d34f3e1cab3@cmc.deusto.eus
DTSTART:20201210T093000Z
DTEND:20201210T223000Z
DTSTAMP:20251031T223800Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Towards a controllability analysis of multiscale systems: Application of the set-theoretic approach to a semi-batch emulsion polymerization process
DESCRIPTION:Speaker: Dr. Jorge Urrea\nAffiliation: Leibniz University Hannover and Universidad de Antioquia\nZoom link ( https://fau.zoom.us/j/94941658573?pwd=bDMrQmlwRURmYnpEN0FzN1I0SzNYdz09 ): Meeting ID: 949 4165 8573 , Passcode: 333125\nAbstract: This work presents a framework to evaluate the controllability of multiscale systems based on a set-theoretic approach. Calculation of the Controllable Trajectories Set is the core of the set-theoretic approach. From a multi-scale perspective, in principle, such calculation is a computationally-intractable problem. Therefore, to overcome the intrinsic curse of dimensionality of the problem, Variance Algebra concepts and a statistical modeling approach are combined to obtain a closed-form allowing to perform an output controllability analysis for a multiscale system. A semi-batch emulsion polymerization process is adopted as a case study. Results have shown that both, the final Particle Size Distribution (mesoscopic variable) and the secondary particle nucleation rate (microscopic variable) are output-controllable. Evaluating the controllability of lower-scale variables (i.e. below macroscopic) could mitigate the dependency of the current control strategies of on-line measurements at the lower scales as well as help to better understand the process capabilities of achieving the desired product quality specifications.\n
URL:https://cmc.deusto.eus/events-calendar/towards-a-controllability-analysis-of-multiscale-systems-application-of-the-set-theoretic-approach-to-a-semi-batch-emulsion-polymerization-process/
CATEGORIES:FAU CAA Seminar
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