Adaptive Direct Inverse Control Scheme Utilizing a Global Best Artificial Bee Colony to Control Nonlinear Systems
Author:
Funder
University of Technology, Baghdad, Iraq, and the Ministry of Higher Education and Scientific Research, Iraq.
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-017-2928-x/fulltext.html
Reference33 articles.
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2. Ma, L.; Lee, K.Y.; Wang, Z.: Intelligent coordinated controller design for a 600 MW supercritical boiler unit based on expanded-structure neural network inverse models. Control Eng. Pract. 53, 194–201 (2016)
3. Denaï, M.A.; Palis, F.; Zeghbib, A.: Modeling and control of non-linear systems using soft computing techniques. Appl. Soft Comput. 7(3), 728–738 (2007)
4. Li, N.; Xia, L.; Shiming, D.; Xu, X.; Chan, M.-Y.: Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network. Appl. Energ. 91(1), 290–300 (2012)
5. Li, N.; Xia, L.; Shiming, D.; Xu, X.; Chan, M.-Y.: On-line adaptive control of a direct expansion air conditioning system using artificial neural network. Appl. Therm. Eng. 53(1), 96–107 (2013)
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