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Biochemical and Biomolecular Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Kernel Learning & Support Vector Machine (3)
- Recursive Identification & Estimation (3)
- Batch/Fed-batch Processes (2)
- Nonlinear Process Modeling & Identification (2)
- Carbon monoxide (1)
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- Energy (1)
- Energy engineering (1)
- Fermentation Processes (1)
- Heterogeneous catalysis (1)
- IT (1)
- Kernel Learning (1)
- Nanomaterials (1)
- Nonlinear Predictive & Adaptive Control (1)
- Online Prediction (1)
- Proceedings (1)
- Process simulation (1)
- Pulp and paper (1)
- Recursive Identification (1)
- Rhodium (1)
- Systems (1)
- XPS (1)
Articles 1 - 6 of 6
Full-Text Articles in Biochemical and Biomolecular Engineering
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu
Dr. Yi Liu
No abstract provided.
Adaptive Control Of A Class Of Nonlinear Discrete-Time Systems With Online Kernel Learning, Yi Liu
Adaptive Control Of A Class Of Nonlinear Discrete-Time Systems With Online Kernel Learning, Yi Liu
Dr. Yi Liu
No abstract provided.
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu, Haiqing Wang, Ping Li
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu, Haiqing Wang, Ping Li
Dr. Yi Liu
A novel online identification method is developed for nonlinear multi-input multi-output process modeling issue, which is based on kernel learning framework and named as online kernel learning (OKL) algorithm in this paper. This proposed approach can adaptively control its complexity and thus acquire controlled generalization ability. The OKL algorithm performs first a forward increasing for incorporating a “new” online sample and then a backward decreasing for pruning an “old” one, both in a recursive manner. Furthermore, the prior knowledge about process can be easily integrated into the OKL scheme to improve its performance. Numerical simulations on a fed-batch penicillin fermentation …
Proceedings From Scientific Conference On Green Energy And It, Dr. Erik Dahlquist
Proceedings From Scientific Conference On Green Energy And It, Dr. Erik Dahlquist
Dr. Erik Dahlquist
This conference is part of the annual Energitinget, a national arena for energy in Sweden, with some 2500 participants. The focus with this session is to give a forum for researchers to present scientific results, and also to discuss these with other researchers. It contains papers in the area of Energy and IT as well as Green energy generally
Use Of Modeling And Simulation In Pulp And, Dr. Erik Dahlquist
Use Of Modeling And Simulation In Pulp And, Dr. Erik Dahlquist
Dr. Erik Dahlquist
The book is a handbook for operators and process engineers in primarily pulp and paper industry, but also other process industries about how to utilise simulation as a tool for enhanced process operations. The book has been written as part of a EU COST action on Process Simulation, with 14 countries and 50 researchers and process industry representatives involved.
A Reactive Oxide Overlayer On Rhodium Nanoparticles During Co Oxidation And Its Size Dependence Studied By In Situ Ambient-Pressure X-Ray Photoelectron Spectroscopy, Michael E. Grass, Hendrik Bluhm, Yawen Zhang, Derek Butcher, Jeong Y. Park, Yimin Li, Kaitlin M. Bratlie, Tianfu Zhang, Gabor A. Somorjai
A Reactive Oxide Overlayer On Rhodium Nanoparticles During Co Oxidation And Its Size Dependence Studied By In Situ Ambient-Pressure X-Ray Photoelectron Spectroscopy, Michael E. Grass, Hendrik Bluhm, Yawen Zhang, Derek Butcher, Jeong Y. Park, Yimin Li, Kaitlin M. Bratlie, Tianfu Zhang, Gabor A. Somorjai
Kaitlin M. Bratlie
The smaller, the better: In situ synchrotron ambient pressure X-ray photoelectron spectroscopy allows examination of the oxidation state of the surface of the rhodium nanoparticles (NPs) during CO oxidation in an O2 atmosphere. 2 nm NPs oxidize to a larger extent than 7 nm NPs during reaction at 150-200°C, which correlates with a fivefold increase in turnover frequency for the smaller nanoparticles.