{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:45:12Z","timestamp":1777927512813,"version":"3.51.4"},"reference-count":51,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Youth Foundation of Naval Aviation University","award":["2023"],"award-info":[{"award-number":["2023"]}]},{"name":"Young Talent Project of Naval University of Engineering","award":["2022"],"award-info":[{"award-number":["2022"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:p>In this article, a fractional-order adaptive iterative learning control scheme is proposed for a class of parameterized fractional-order systems with unknown control gain and backlash-like hysteresis nonlinearity under disturbance. Based on the sufficient condition for the stability of linear fractional-order systems, a sliding mode surface of tracking errors is constructed to facilitate the controller design and stability analysis. A new boundary layer function is designed by using Mittag-Leffler function to relax the restriction of the identical initial condition of iterative learning control design. The fractional-order differential-type adaptive laws and difference-type learning law are designed to estimate unknown constant parameters and time-varying parameter, respectively. To deal with the influence of backlash-like hysteresis nonlinearity reminder term and unknown bounded external disturbance, a robust control term is designed by employing the hyperbolic tangent function with a convergent series sequence which can guarantee the learning convergence along iteration axis. By constructing Lyapunov-like composite energy function, the stability analysis is presented to prove the convergence of the system output to a small neighborhood of the desired trajectory and the boundedness of all the closed-loop signals. Finally, a simulation example of second-order nonlinear fractional-order system is presented, which demonstrates the effectiveness of the proposed fractional-order adaptive iterative learning control scheme.<\/jats:p>","DOI":"10.1177\/09596518231208221","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T07:05:46Z","timestamp":1704438346000},"page":"410-424","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive iterative learning control for a class of parameterized fractional-order systems subjected to backlash-like hysteresis"],"prefix":"10.1177","volume":"238","author":[{"given":"Hong","family":"Wang","sequence":"first","affiliation":[{"name":"Naval Aviation University, Yantai, 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