{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:20:06Z","timestamp":1761294006783,"version":"3.38.0"},"reference-count":24,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T00:00:00Z","timestamp":1571356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 51775193"],"award-info":[{"award-number":["No. 51775193"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> Steering angle and driving force saturations are inevitable in autonomous vehicle motions, which will degrade the motion control performance and even deteriorate the driving safety. In addition, the strong coupling of lateral and longitudinal motions of autonomous vehicles also contributes to the saturations damage and increases the control difficulty. To reduce these negative impacts on motion control, a novel motion controller for automated vehicles is presented in this paper. Firstly, an extended 3 degree of freedom vehicle dynamic model is built with the unknown saturations, strong-coupled motion characteristics and external disturbance considered simultaneously. Then, a coordinated controller is designed to complete motion control task based on sliding-mode control (SMC) and non-singular fast terminal sliding-mode control (NFTSM). Moreover, a three-layer radial basis function neural network (RBFNN) is adopted as a compensator to approximate modelling uncertainties. Based on Lyapunov stability theory, the uniform ultimate boundednesses of motion control errors are guaranteed. Simulation results show that the proposed controller owns smaller steady-state errors and faster convergence speed. <\/jats:p>","DOI":"10.1177\/0142331219879342","type":"journal-article","created":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T07:03:34Z","timestamp":1571382214000},"page":"157-166","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Coordinated motion control for automated vehicles considering steering and driving force saturations"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1477-9134","authenticated-orcid":false,"given":"Hongyang","family":"Xia","sequence":"first","affiliation":[{"name":"Key Laboratory of Guangdong Province of Automotive Engineering, South China University of Technology, China"}]},{"given":"Jiqing","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Guangdong Province of Automotive Engineering, South China University of Technology, China"}]},{"given":"Zhaolin","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Guangdong Province of Automotive Engineering, South China University of Technology, China"}]},{"given":"Fengchong","family":"Lan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Guangdong Province of Automotive Engineering, South China University of Technology, China"}]}],"member":"179","published-online":{"date-parts":[[2019,10,18]]},"reference":[{"key":"bibr1-0142331219879342","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2013.874563"},{"key":"bibr2-0142331219879342","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2014.2303787"},{"key":"bibr3-0142331219879342","doi-asserted-by":"crossref","unstructured":"Cordeiro RA, Azinheira JR, de Paiva EC, Bueno SS (2013) Dynamic modeling and bio-inspired LQR approach for off-road robotic vehicle path tracking. 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