{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T07:49:53Z","timestamp":1776152993050,"version":"3.50.1"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273131"],"award-info":[{"award-number":["62273131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.engappai.2026.114578","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T10:31:24Z","timestamp":1774348284000},"page":"114578","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Chebyshev Petri recursive fuzzy neural sliding mode control for active power filter"],"prefix":"10.1016","volume":"174","author":[{"given":"Hongfei","family":"Ding","sequence":"first","affiliation":[]},{"given":"Jiacheng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Cuicui","family":"An","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7954-2125","authenticated-orcid":false,"given":"Juntao","family":"Fei","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2026.114578_bib1","doi-asserted-by":"crossref","first-page":"18","DOI":"10.58496\/BJM\/2023\/004","article-title":"Fuzzy graph modeling and clustering analysis of nonlinear dynamical System","author":"Ali","year":"2023","journal-title":"Babylonian Journal of Mathematics"},{"issue":"7","key":"10.1016\/j.engappai.2026.114578_bib2","first-page":"2518","article-title":"A novel variable exponential discrete time sliding mode reaching law","volume":"68","author":"Chen","year":"2021","journal-title":"IEEE Trans. Circuits Syst., II Express Briefs"},{"issue":"3","key":"10.1016\/j.engappai.2026.114578_bib3","doi-asserted-by":"crossref","first-page":"3496","DOI":"10.1109\/TPEL.2020.3016709","article-title":"Intelligent Maximum power factor searching control using recurrent Chebyshev Fuzzy neural network Current angle controller for SynRM drive System","volume":"36","author":"Chen","year":"2021","journal-title":"IEEE Trans. Power Electron."},{"key":"10.1016\/j.engappai.2026.114578_bib4","article-title":"Harmonic problems in renewable and sustainable energy systems: a comprehensive review","volume":"vol. 48","author":"Ero\u011flu","year":"2021"},{"key":"10.1016\/j.engappai.2026.114578_bib5","article-title":"Review of AI applications in harmonic analysis in power systems","volume":"vol. 154","author":"Eslami","year":"2022"},{"key":"10.1016\/j.engappai.2026.114578_bib6","doi-asserted-by":"crossref","unstructured":"J. Fei and J. Wang, \"Self-Organizing chebyshev fuzzy neural network integral terminal sliding mode control of active power filter,\" in IEEE Internet Things J., doi: 10.1109\/JIOT.2024.3394263.","DOI":"10.1109\/JIOT.2024.3394263"},{"issue":"15","key":"10.1016\/j.engappai.2026.114578_bib7","doi-asserted-by":"crossref","first-page":"13587","DOI":"10.1109\/JIOT.2023.3262665","article-title":"Chebyshev fuzzy neural network super-twisting terminal sliding-mode control for active power filter","volume":"10","author":"Fei","year":"2023","journal-title":"IEEE Internet Things J."},{"issue":"6","key":"10.1016\/j.engappai.2026.114578_bib8","doi-asserted-by":"crossref","first-page":"1712","DOI":"10.1109\/TFUZZ.2021.3064704","article-title":"Fractional sliding-mode control for microgyroscope based on Multilayer recurrent fuzzy neural network","volume":"30","author":"Fei","year":"2022","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"2","key":"10.1016\/j.engappai.2026.114578_bib9","doi-asserted-by":"crossref","first-page":"2955","DOI":"10.1109\/TTE.2022.3213562","article-title":"A fast sliding mode speed controller for PMSM based on new compound reaching law with improved sliding mode observer","volume":"9","author":"Guo","year":"2023","journal-title":"IEEE Trans. Transp. Electrif."},{"key":"10.1016\/j.engappai.2026.114578_bib10","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1007\/s11431-022-2078-3","article-title":"Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process","volume":"66","author":"He","year":"2023","journal-title":"Sci. China Technol. Sci."},{"issue":"2","key":"10.1016\/j.engappai.2026.114578_bib11","doi-asserted-by":"crossref","first-page":"1918","DOI":"10.1109\/TTE.2021.3123646","article-title":"Finite-Time extended State observer-based super-twisting sliding mode controller for PMSM drives with inertia identification","volume":"8","author":"Hou","year":"2022","journal-title":"IEEE Trans. Transp. Electrif."},{"key":"10.1016\/j.engappai.2026.114578_bib12","doi-asserted-by":"crossref","first-page":"8","DOI":"10.70470\/KHWARIZMIA\/2024\/003","article-title":"Advanced composite materials for sustainable construction: innovations in civil engineering application","author":"Hussein","year":"2024","journal-title":"KHWARIZMIA"},{"key":"10.1016\/j.engappai.2026.114578_bib13","doi-asserted-by":"crossref","first-page":"118012","DOI":"10.1109\/ACCESS.2022.3220800","article-title":"Recursive terminal sliding-mode control method for nonlinear System based on double hidden layer fuzzy emotional recurrent neural network","volume":"10","author":"Jia","year":"2022","journal-title":"IEEE Access"},{"issue":"11","key":"10.1016\/j.engappai.2026.114578_bib14","doi-asserted-by":"crossref","first-page":"12110","DOI":"10.1109\/TPEL.2020.2986893","article-title":"Adaptive speed control of PMSM drive System based a new sliding-mode reaching law","volume":"35","author":"Junejo","year":"2020","journal-title":"IEEE Trans. Power Electron."},{"issue":"8","key":"10.1016\/j.engappai.2026.114578_bib15","doi-asserted-by":"crossref","first-page":"4011","DOI":"10.1109\/TCYB.2020.3022270","article-title":"Neural-Network approximation-based adaptive periodic event-triggered output-feedback control of switched nonlinear systems","volume":"51","author":"Li","year":"2021","journal-title":"IEEE Trans. Cybern."},{"issue":"12","key":"10.1016\/j.engappai.2026.114578_bib16","doi-asserted-by":"crossref","first-page":"5166","DOI":"10.1109\/TNNLS.2020.2964044","article-title":"Adaptive neural network backstepping control of fractional-order nonlinear systems with actuator faults","volume":"31","author":"Liu","year":"2020","journal-title":"IEEE Transact. Neural Networks Learn. Syst."},{"issue":"5","key":"10.1016\/j.engappai.2026.114578_bib17","doi-asserted-by":"crossref","first-page":"2339","DOI":"10.1109\/TCYB.2020.2978003","article-title":"Neural-Network-Based sliding-mode control of an uncertain robot using dynamic model approximated switching gain","volume":"51","author":"Liu","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.engappai.2026.114578_bib18","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.neucom.2022.08.032","article-title":"MFRFNN: Multi-Functional recurrent fuzzy neural network for chaotic time series prediction","volume":"507","author":"Nasiri","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.engappai.2026.114578_bib19","article-title":"Optimizing energy efficiency in smart grids using machine learning algorithms: a case Study in electrical engineering","volume":"46\u201354","author":"Nayyef","year":"2024","journal-title":"SHIFRA"},{"issue":"4","key":"10.1016\/j.engappai.2026.114578_bib20","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1109\/TRO.2020.2974092","article-title":"Operational space model predictive sliding mode control for redundant manipulators","volume":"36","author":"Nicolis","year":"2020","journal-title":"IEEE Trans. Robot."},{"key":"10.1016\/j.engappai.2026.114578_bib21","doi-asserted-by":"crossref","DOI":"10.70470\/EDRAAK\/2024\/005","article-title":"AI-Driven energy forecasting enhancing smart grid efficiency with LSTM networks","author":"Nyangaresi","year":"2024","journal-title":"EDRAAK"},{"key":"10.1016\/j.engappai.2026.114578_bib22","doi-asserted-by":"crossref","first-page":"197730","DOI":"10.1109\/ACCESS.2020.3034734","article-title":"Enhancement of power quality in domestic loads using harmonic filters","volume":"8","author":"Sanjan","year":"2020","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.engappai.2026.114578_bib23","doi-asserted-by":"crossref","first-page":"5345","DOI":"10.1109\/TNNLS.2022.3203419","article-title":"Event-Triggered adaptive fuzzy neural network output feedback control for constrained stochastic nonlinear systems","volume":"35","author":"Si","year":"2024","journal-title":"IEEE Transact. Neural Networks Learn. Syst."},{"issue":"10","key":"10.1016\/j.engappai.2026.114578_bib24","doi-asserted-by":"crossref","first-page":"9334","DOI":"10.1109\/TIE.2020.3020026","article-title":"Torque ripple reduction of SRM drive using improved direct torque control with sliding mode controller and observer","volume":"68","author":"Sun","year":"2021","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"3","key":"10.1016\/j.engappai.2026.114578_bib25","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1109\/TTE.2021.3052986","article-title":"A composite sliding mode control for SPMSM drives based on a new hybrid reaching law with disturbance compensation","volume":"7","author":"Sun","year":"2021","journal-title":"IEEE Trans. Transp. Electrif."},{"issue":"7","key":"10.1016\/j.engappai.2026.114578_bib26","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1109\/TFUZZ.2021.3077396","article-title":"An efficient self-organizing deep fuzzy neural network for nonlinear System modeling","volume":"30","author":"Wang","year":"2022","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"4","key":"10.1016\/j.engappai.2026.114578_bib27","doi-asserted-by":"crossref","first-page":"4117","DOI":"10.1109\/TPEL.2019.2933613","article-title":"A new reaching law for antidisturbance sliding-mode control of PMSM speed regulation System","volume":"35","author":"Wang","year":"2020","journal-title":"IEEE Trans. Power Electron."},{"issue":"8","key":"10.1016\/j.engappai.2026.114578_bib28","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1109\/TFUZZ.2020.2998519","article-title":"Sliding-Mode control of Fuzzy singularly perturbed descriptor systems","volume":"29","author":"Wang","year":"2021","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.engappai.2026.114578_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.automatica.2021.109515","article-title":"Sliding mode control for singularly perturbed Markov jump descriptor systems with nonlinear perturbation","volume":"127","author":"Wang","year":"2021","journal-title":"Automatica"},{"key":"10.1016\/j.engappai.2026.114578_bib30","first-page":"1","article-title":"Harmonic detection for active power filter based on two-step improved EEMD","volume":"71","author":"Wang","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"pt. A","key":"10.1016\/j.engappai.2026.114578_bib31","article-title":"A novel premium power supply scheme against harmonic suppression for non-linear park","volume":"214","author":"Wang","year":"2023","journal-title":"Elec. Power Syst. Res."},{"key":"10.1016\/j.engappai.2026.114578_bib32","doi-asserted-by":"crossref","first-page":"167389","DOI":"10.1109\/ACCESS.2021.3135856","article-title":"Self-Constructing Fuzzy-Neural-Network- imitating sliding-mode control for parallel-inverter System in grid-connected microgrid","volume":"9","author":"Yang","year":"2021","journal-title":"IEEE Access"},{"issue":"8","key":"10.1016\/j.engappai.2026.114578_bib33","doi-asserted-by":"crossref","first-page":"9367","DOI":"10.1109\/TPEL.2023.3266738","article-title":"Intelligent complementary terminal sliding mode using multiloop neural network for active power filter","volume":"38","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Power Electron."},{"issue":"3","key":"10.1016\/j.engappai.2026.114578_bib34","doi-asserted-by":"crossref","first-page":"2598","DOI":"10.1109\/TVT.2019.2950219","article-title":"An adaptive backstepping sliding mode controller to improve vehicle maneuverability and stability via torque vectoring control","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"7","key":"10.1016\/j.engappai.2026.114578_bib35","article-title":"Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme","volume":"95","author":"Zhang","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.engappai.2026.114578_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117589","article-title":"Soft-sensing of effluent total phosphorus using adaptive recurrent fuzzy neural network with Gustafson-Kessel clustering","volume":"203","author":"Zhou","year":"2022","journal-title":"Expert Syst. Appl."}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626008596?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626008596?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T06:56:10Z","timestamp":1776149770000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197626008596"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":36,"alternative-id":["S0952197626008596"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114578","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Chebyshev Petri recursive fuzzy neural sliding mode control for active power filter","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.114578","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"114578"}}