Mixing Population-Based Metaheuristics: An Approach Based on a Distributed-Queue for the Optimal Design of Fuzzy Controllers-Reference-Cited by-同舟云学术

Mixing Population-Based Metaheuristics: An Approach Based on a Distributed-Queue for the Optimal Design of Fuzzy Controllers

Published:2022 Issue: Volume: Page:839-846
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
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Author:

Mancilla Alejandra^ORCID,Castillo Oscar^ORCID,Valdez Mario García^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09173-5_96

Reference19 articles.

1. Driankov, D., Hellendoorn, H., Reinfrank, M.: An introduction to fuzzy control. Springer Science & Business Media (2013)

2. Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. In: Proceedings of the Institution of Electrical Engineers, vol. 121, pp. 1585–1588. IET (1974)

3. King, P.J., Mamdani, E.H.: The application of fuzzy control systems to industrial processes. Automatica 13(3), 235–242 (1977)

4. Driankov, D., Saffiotti, A.: Fuzzy Logic Techniques for Autonomous Vehicle Navigation, vol. 61. Physica (2013)

5. Xia, J., Zhang, J., Feng, J., Wang, Z., Zhuang, G.: Command filter-based adaptive fuzzy control for nonlinear systems with unknown control directions. IEEE Trans. Syst. Man Cybern. Syst. 51, 1945–1953 (2019)

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