Global self-optimizing control of a solid oxide fuel cell
Author:
Affiliation:
1. Zhejiang University,School of Control Engineering,Hangzhou,P. R. China,310027
2. Huzhou University,Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering,Huzhou,P. R. China,313000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10166897.pdf?arnumber=10166897
Reference17 articles.
1. Control structure design of a solid oxide fuel cell and a molten carbonate fuel cell integrated system: Top-down analysis
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4. Plantwide control: the search for the self-optimizing control structure
5. Nonlinear model predictive control based on the moving horizon state estimation for the solid oxide fuel cell
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1. Dynamic controlled variables based dynamic self-optimizing control;Journal of Process Control;2024-06
2. Limitations and trends on cobalt-free cathode materials development for intermediate-temperature solid oxide fuel cell- an updated technical review;Emergent Materials;2024-05-17
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