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Robust nonlinear model predictive control of batch processes
Contributor(s):: Nagy, Zoltan K., Braatz, Richard D.
NMPC explicitly addresses constraints and nonlinearities during the feedback control of batch processes. This NMPC algorithm also explicitly takes parameter uncertainty into account in the state estimation and state feedback controller designs. An extended Kalman filter estimates the process...
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Flowsheet modeling of a continuous direct compression process
Contributor(s):: Yoon, Seongkyu, Galbraith, Shaun, Cha, Bumjoon, Liu, Huolong
Continuous manufacturing for the production of pharmaceutical products is emerging as a key technology due to the advantages it has over traditional batch manufacturing methods. Process systems engineering is critical in rolling out this technology within the industry since it allows for more...
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Designing a novel continuous manufacturing plant with superior monitoring and control
Contributor(s):: Singh, Ravendra, Zhang, Jun Ierapetritou, Marianthi, Ramachandran, Rohit
There is a growing interest in manufacturing the pharmaceutical product continuously . Along with other advantages , it provides an appropriate platform to implement suitable monitoring and control architecture, to improve the product quality and minimise product rejection and operating expenses....
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Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process
Contributor(s):: Landin, Mariana
The results presented in this article demonstrate the potential of artificial intelligence tools for predicting the endpoint of the granulation process in high-speed mixer granulators of different scales from 25L to 600L. The combination of neurofuzzy logic and gene expression programing...