Advancements in data-driven evolving fuzzy and neuro-fuzzy control: a comprehensive survey
| dc.contributor.author | Andonovski, G. | |
| dc.contributor.author | Leite, D. | |
| dc.contributor.author | Precup, R.E. | |
| dc.contributor.author | Gomide, F. | |
| dc.contributor.author | Pratama, D. | |
| dc.contributor.author | Škrjanc, I. | |
| dc.date.issued | 2025 | |
| dc.description.abstract | In an era of increasing system complexity and growing demands for autonomy and efficiency, control systems must continuously adapt to dynamic and uncertain environments. This study presents a comprehensive survey of evolving fuzzy and neuro-fuzzy controllers, with emphasis on data-driven control systems that adapt in real time in both structure and parameters. As the demand for adaptive and flexible control solutions grows alongside the increasing complexity of systems, evolving model-free and model-based fuzzy, neural, and neuro-fuzzy controllers have emerged as robust approaches, allowing models and controllers to integrate new patterns from data streams. | |
| dc.identifier.citation | Applied Soft Computing, online, 2025; online(114058):1-41 | |
| dc.identifier.doi | 10.1016/j.asoc.2025.114058 | |
| dc.identifier.issn | 1568-4946 | |
| dc.identifier.issn | 1872-9681 | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/44733 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | |
| dc.relation.funding | Slovenian Research and Innovation P2-0219 | |
| dc.relation.funding | Ministry of Culture and Science of the State of North Rhyne-Westphalia NW21-059D | |
| dc.rights | Copyright 2025 the Authors, this is an Open Access article under the Creative Commons license Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) | |
| dc.source.uri | https://doi.org/10.1016/j.asoc.2025.114058 | |
| dc.subject | Evolving intelligence | |
| dc.subject | Incremental machine learning | |
| dc.subject | Fuzzy systems | |
| dc.subject | Neural networks | |
| dc.subject | Adaptive and real-time control | |
| dc.subject | Data-driven control | |
| dc.title | Advancements in data-driven evolving fuzzy and neuro-fuzzy control: a comprehensive survey | |
| dc.type | Journal article | |
| pubs.publication-status | Published | |
| ror.mmsid | 9917080051301831 |