{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:27:48Z","timestamp":1760171268076,"version":"3.38.0"},"reference-count":49,"publisher":"SAGE Publications","issue":"15","license":[{"start":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T00:00:00Z","timestamp":1651968000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:p> In this paper, an adaptive neural network (NN) finite-time command filter controller for a class of non-strict feedback stochastic non-linear systems has been investigated. Using error compensation signals and NNs, a command filter controller is presented which guarantees that all the signals of the closed-loop system are practical finite-time stable and the output signal tracks the given reference signal under the bounded error. In the design procedure, NNs are employed to approximate unknown non-linear functions, which contain all the state variables of the whole system, in order to avoid excessive and burdensome computations and ensure that the backstepping method works normally for non-strict feedback systems. Meanwhile, the \u201cexplosion of complexity\u201d problem caused by the backstepping method is avoided using the command filter approach. The control scheme not only resolves the \u201cexplosion of complexity\u201d problem but also eliminates the filtering error in finite-time. Finally, the simulation results are given to prove the effectiveness of the proposed control method. <\/jats:p>","DOI":"10.1177\/01423312221093825","type":"journal-article","created":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T14:35:28Z","timestamp":1652020528000},"page":"2877-2887","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive command-filtered finite-time control of non-strict feedback stochastic non-linear systems"],"prefix":"10.1177","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1225-4289","authenticated-orcid":false,"given":"Parisa","family":"Seifi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad (FUM), Iran"}]},{"given":"Seyed Kamal","family":"Hosseini Sani","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad (FUM), Iran"}]}],"member":"179","published-online":{"date-parts":[[2022,5,8]]},"reference":[{"key":"bibr1-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3023726"},{"key":"bibr2-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2012.2190048"},{"key":"bibr3-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2010.08.009"},{"key":"bibr4-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.08.024"},{"key":"bibr5-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSS.2018.8572405"},{"key":"bibr6-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2012.11.013"},{"key":"bibr7-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6911(97)00068-6"},{"key":"bibr8-01423312221093825","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2011.2121907"},{"key":"bibr9-01423312221093825","unstructured":"ElBsat MN (2012) Finite-time control and estimation of nonlinear systems with disturbance attenuation. 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