Data-driven Model Predictive Control of Nanoparticle Production in Modular Reactors-Reference-Cited by-同舟云学术

Data-driven Model Predictive Control of Nanoparticle Production in Modular Reactors

Published:2024-06-25 Issue: Volume: Page:2035-2040
ISSN:
Container-title:2024 European Control Conference (ECC)
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Author:

Saswade Rohan¹,Tarun Ganapavarapu Sai²,Bhatt Nirav³,Narasimhan Sridharakumar⁴

Affiliation:

1. Dual Degree Programme in Cyber-Physical Systems Indian Institute of Technology Madras,Department of Biotechnology and is a student of Interdisciplinary,Chennai,India,600036

2. Indian Institute of Technology Madras,Department of Chemical Engineering’,Chennai,India,600036

3. Intelligence and Biotechnology and Robert Bosch Centre for Data Science and Artificial Intelligence Indian Institute of Technology Madras,Department of Data Science and Artificial,Chennai,India,600036

4. Bosch Centre for Data Science and Artificial Intelligence, Indian Institute of Technology Madras,Department of Chemical Engineering and Robert,Chennai,India,600036

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591045.pdf?arnumber=10591045

Reference15 articles.

1. End-to-End Continuous Manufacturing of Pharmaceuticals: Integrated Synthesis, Purification, and Final Dosage Formation

2. On-demand continuous-flow production of pharmaceuticals in a compact, reconfigurable system

3. Continuous-Flow Technology-A Tool for the Safe Manufacturing of Active Pharmaceutical Ingredients

4. Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors

5. On Exponential Bistability of Equilibrium Profiles of Nonisothermal Axial Dispersion Tubular Reactors