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Il giorno 25 ottobre 2022, ore 15:00-16:00
 
Il prof. Nadav Bar della Norwegian University of Science and Technology  terrà un seminario dal titolo
 
Cybernetics bio-processes: Mathematical and A.I. models, estimation algorithms, optimization and real-time feedback control of microbial bio-processes.
 
Il seminario si terrà nell’Aula Magna della Facoltà di Ingegneria e Architettura.

Abstract: 

Microbial batch and fed-batch fermentation bioprocesses are still conducted manually, and feedback control is mostly restricted to simple PID operations, regulating the temperature, dissolved oxygen, gas and pH. Real-time optimal feedback control of growth, substrate consumption, and product formation during microbial bioprocesses is still limited because the complexity of such integrated systems, the real-time analytics, multi-layered communication software, modeling complexity and control interface. 

Our laboratory at NTNU developed with partners a multi-layered software and hardware that enable a complete real-time interface with the microbial process. We use Matlab and CASADI software to solve a model and calculate optimal growth conditions at every time-step. We are experimenting with hybrid mechanistic -  A.I. neural networks models and reinforcement learning methods to move beyond the traditional control paradigms. Open Platform Communication (OPC) enables Matlab to communicate with up to eight bioreactors at the same time, peripheral instruments such as scales, pumps, flow controllers, and probes and read / write control decisions. Autosampler units handle 2mL samples every few minutes to provide chemical analysis of the medium and the bacteria. Advanced estimators, such as Extended Kalman Filter and Moving Horizon Estimator (MHE) integrate all the instrumentation to a complete feedback information system that enables feedback control. 

The laboratory setting makes possible to apply advance control applications such as complex industrial sugar feedings and growth of bacteria producing antibiotics, but requires a range of skilled students and scientists from control engineering, modelling, chemistry, process engineering and biotechnology.  This non-traditional team work is essential for the success of the new bioprocess framework. We are seeking dedicated students and scientists that will collaborate with our laboratory, in site or remote, and develop new models, A.I. algorithms, control algorithms, and experimental bio-processes, and we promise challenging and rewarding working environment in beautiful Trondheim, Norway.