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https://hdl.handle.net/10316/101272
Title: | Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules | Authors: | Mendes, Jérôme Maia, Ricardo Araújo, Rui Souza, Francisco A. A. |
Keywords: | evolving design; fuzzy controller; univariate fuzzy rules; CSTR plant | Issue Date: | 2020 | Project: | FCT - grant SFRH/BD/44644/2008 | Serial title, monograph or event: | Applied Sciences (Switzerland) | Volume: | 10 | Issue: | 17 | Abstract: | The paper proposes a methodology to online self-evolve direct fuzzy logic controllers (FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self-designs the controller, where fuzzy control rules can be added or removed considering a predefined criterion. The proposed methodology aims to reach a control structure easily interpretable by human operators. The FLC is defined by univariate fuzzy control rules, where each input variable is represented by a set of fuzzy control rules, improving the interpretability ability of the learned controller. The proposed self-evolving methodology, when the process is under control (online stage), adds fuzzy control rules on the current FLC using a criterion based on the incremental estimated control error obtained using the system’s inverse function and deletes fuzzy control rules using a criterion that defines “less active” and “less informative” control rules. From the results on a nonlinear continuously stirred tank reactor (CSTR) plant, the proposed methodology shows the capability to online self-design the FLC by adding and removing fuzzy control rules in order to successfully control the CSTR plant. | URI: | https://hdl.handle.net/10316/101272 | ISSN: | 2076-3417 | DOI: | 10.3390/app10175836 | Rights: | openAccess |
Appears in Collections: | I&D ISR - Artigos em Revistas Internacionais |
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