Model Predictive Control for Hammerstein Systems with Unknown Input Nonlinearities
Author:
Affiliation:
1. National Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China
Funder
National Natural Science Foundation of China
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie404276h
Reference28 articles.
1. Identification of Hammerstein models for control using ASYM
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5. Optimal design of a finite-buffer polling network with mixed service discipline and general service order sequence
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