Nonlinearity model identification for main steam valves based on steady-state data
Author:
Affiliation:
1. Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9693491/9693537/09693737.pdf?arnumber=9693737
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1. Nonlinear data-driven identification of polymer electrolyte membrane fuel cells for diagnostic purposes: A Volterra series approach
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3. SEGMENTING TIME SERIES: A SURVEY AND NOVEL APPROACH
4. Determining the number of segments for piece-wise linear representation of discrete-time signals
5. Assessment of automatic generation control performance of power generation units based on amplitude changes
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