{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:09:36Z","timestamp":1777910976804,"version":"3.51.4"},"reference-count":31,"publisher":"SAGE Publications","issue":"14","license":[{"start":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T00:00:00Z","timestamp":1728259200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"the Key Research and Development Program of Jiangxi Province","award":["Grant No. 20224BBE52003"],"award-info":[{"award-number":["Grant No. 20224BBE52003"]}]},{"name":"the key project of Jiangxi Provincial Natural Science Foundation","award":["Grant No. 20232ACB204018"],"award-info":[{"award-number":["Grant No. 20232ACB204018"]}]},{"name":"the project of Jiangxi 03 special and 5G","award":["Grant No. 20232ABC03A30"],"award-info":[{"award-number":["Grant No. 20232ABC03A30"]}]},{"name":"the Major Research Program of Nanchang City","award":["Grant No. 2023137"],"award-info":[{"award-number":["Grant No. 2023137"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["Grant No. 52162044"],"award-info":[{"award-number":["Grant No. 52162044"]}],"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":[[2025,10]]},"abstract":"<jats:p>To cope with the challenges of inadequate precision and weak robustness of tire\u2013road friction coefficient (TRFC) and vehicle state estimation under mixed Gaussian noise circumstances, this research puts forward a method combining maximum correntropy criterion (MCC) and generalized high-degree cubature Kalman filter (GHCKF). A coupled lateral and longitudinal vehicle model and the Dugoff tire model are established. The vehicle mass is estimated using the recursive least squares approach based on a forgetting factor (FFRLS). Low-cost onboard sensors are utilized to design observers for vehicle state and TRFC. The observers\u2019 effectiveness is tested by Carsim\/Simulink co-simulation tests under the conditions of sine steering input and steering wheel angle step input. The research results indicate that in handling mixed Gaussian noise environments, maximum correntropy generalized high-degree cubature Kalman filter (MCGHCKF) method outperforms maximum correntropy cubature Kalman filter (MCCKF), GHCKF, and cubature Kalman filter (CKF) methods concerning robustness and estimation accuracy, providing stable and reliable support for systems of vehicle active safety control.<\/jats:p>","DOI":"10.1177\/01423312241274008","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T03:12:34Z","timestamp":1728270754000},"page":"2918-2929","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Study on vehicle state and tire\u2013road friction coefficient estimation based on maximum correntropy generalized high-degree cubature Kalman filter"],"prefix":"10.1177","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8861-9945","authenticated-orcid":false,"given":"Qiping","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, China"}]},{"given":"Binghao","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, China"}]},{"given":"Chengping","family":"Zhong","sequence":"additional","affiliation":[{"name":"Jiangling Motors Co., Ltd., China"}]},{"given":"Zhiqiang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Jiangxi Vocational and Technical College of Communications, China"}]},{"given":"Daoliang","family":"You","sequence":"additional","affiliation":[{"name":"Jiangling Motors Co., Ltd., China"}]},{"given":"Yuanhao","family":"Cai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, China"}]}],"member":"179","published-online":{"date-parts":[[2024,10,7]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.10.004"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109162"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2014.960430"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13158762"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/en15114126"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6087450"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s10033-023-00914-5"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/0954407018788720"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJHVS.2020.104405"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2019.105441"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20236889"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046416"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21041282"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/e25030453"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12239-023-0031-8"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aca172"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.3390\/app131910734"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23156665"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3056560"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3020562"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2021.3065210"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4052820"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3081443"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2022.3174511"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1177\/14644193231174775"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1177\/09544070211026191"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1177\/15501329221102730"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10131526"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1177\/09544070221145829"},{"key":"e_1_3_3_31_1","first-page":"1","article-title":"An enhanced adaptive unscented Kalman filter for vehicle state estimation","volume":"71","author":"Zhang Y","year":"2022","unstructured":"Zhang Y, Li M, Zhang Y, et al. 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