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Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is synthesized to ensure good identification performance in terms of accuracy and rapidity. Then, an adaptive tracking controller consisting of a feedback control term to compensate the identified nonlinearity and a sliding model control term to deal with the modeling error is established. The Lyapunov approach is synthesized to ensure the convergence characteristics of the overall closed-loop system composed of the PNN identifier and the adaptive tracking controller. Simulation results for an AFS\/DYC system are presented to confirm the validity of the proposed approach.<\/jats:p>","DOI":"10.1155\/2022\/4579263","type":"journal-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T02:50:09Z","timestamp":1641523809000},"page":"1-9","source":"Crossref","is-referenced-by-count":1,"title":["Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS\/DYC System"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5917-5428","authenticated-orcid":true,"given":"Zhijun","family":"Fu","sequence":"first","affiliation":[{"name":"Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Lu","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5366-7122","authenticated-orcid":true,"given":"Fang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1319-1822","authenticated-orcid":true,"given":"Yaohua","family":"Guo","sequence":"additional","affiliation":[{"name":"Research Center of Yutong Bus Co., Ltd., No. 66, Yuxing Road, Zhengzhou 450061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengyan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36, Beihuan Road, Zhengzhou 450045, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heyang","family":"Feng","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2021.3076105"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.11113\/jt.v71.3728"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/tcsii.2020.2995604"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1080\/17445760.2020.1805609"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1080\/10798587.2015.1058469"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.81.10.3088"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/72.363477"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/72.88167"},{"key":"9","article-title":"Automatic parking system based on improved neural network algorithm and intelligent image analysis","volume":"2021","author":"Y. 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