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The suggested control architecture includes a fractional-order sliding surface, a fuzzy system, and an [Formula: see text] adaptive controller. The latter consists of a predictor, a control law, and its adaptive mechanism. The fuzzy system takes the role of an online estimator for system nonlinear uncertain functions which helps in the handling of the input nonlinearities. A designed low-pass filter is placed within the input channel of the [Formula: see text] adaptive controller to ensure that the control loop is decoupled from the estimation loop, which preserves response robustness along with improving transient performances. Finally, the closed-loop stability is rigorously proved, and the acquired results are demonstrated by two simulation examples as well as a comparative study. <\/jats:p>","DOI":"10.1177\/01423312221148241","type":"journal-article","created":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T07:04:46Z","timestamp":1676271886000},"page":"2310-2323","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy L1 adaptive controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities"],"prefix":"10.1177","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3834-7670","authenticated-orcid":false,"given":"Ihab Abderraouf","family":"Boulham","sequence":"first","affiliation":[{"name":"LAJ, Faculty of Science and Technology, University of Jijel, Algeria"}]},{"given":"Ahsene","family":"Boubakir","sequence":"additional","affiliation":[{"name":"LAJ, Faculty of 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