{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:31Z","timestamp":1750220551661,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,13]],"date-time":"2020-11-13T00:00:00Z","timestamp":1605225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Project supported by the National Natural Science Foundation of China","award":["51675389"],"award-info":[{"award-number":["51675389"]}]},{"name":"Project supported by the National Natural Science Foundation of China","award":["51705381"],"award-info":[{"award-number":["51705381"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,13]]},"DOI":"10.1145\/3440840.3440853","type":"proceedings-article","created":{"date-parts":[[2021,2,15]],"date-time":"2021-02-15T14:29:16Z","timestamp":1613399356000},"page":"119-123","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Iterative Learning Control of Functional Electrical Stimulation Based on Joint Muscle Model"],"prefix":"10.1145","author":[{"given":"Jiaming","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]},{"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]},{"given":"Shaocong","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]},{"given":"Wei","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]},{"given":"Qingsong","family":"Ai","sequence":"additional","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]},{"given":"Quan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Engineering Wuhan University of Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2021,2,15]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.2471\/BLT.16.181636"},{"key":"e_1_3_2_1_2_1","first-page":"129","article-title":"Study on the Debilitating Status and Influencing Factors of Elderly Stroke Patients(in chinese)[J]","volume":"2020","author":"Zhao H Y","unstructured":"Zhao H Y , Zhang M Q . Study on the Debilitating Status and Influencing Factors of Elderly Stroke Patients(in chinese)[J] , Health Vocational Education , 2020 ,38(01): 129 - 132 . Zhao H Y,Zhang M Q. Study on the Debilitating Status and Influencing Factors of Elderly Stroke Patients(in chinese)[J], Health Vocational Education,2020,38(01):129-132.","journal-title":"Health Vocational Education"},{"key":"e_1_3_2_1_3_1","volume-title":"The Prevention and Treatment of Stroke Still Face Huge Challenges\u2014\u2014Brief Report on Stroke Prevention and Treatment in China","author":"Wang L D","year":"2018","unstructured":"Wang L D , Liu J M , Yang Y , The Prevention and Treatment of Stroke Still Face Huge Challenges\u2014\u2014Brief Report on Stroke Prevention and Treatment in China , 2018 (in chinese) [J],Chinese Circulation Journal , 2019,34. Wang L D, Liu J M,Yang Y, The Prevention and Treatment of Stroke Still Face Huge Challenges\u2014\u2014Brief Report on Stroke Prevention and Treatment in China, 2018(in chinese) [J],Chinese Circulation Journal, 2019,34."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1016\/j.physio.2019.08.003"},{"key":"e_1_3_2_1_5_1","volume-title":"PID Controller Design for FES Applied to Ankle Muscles in Neuroprosthesis for Standing Balance [J]. Front Neurosci","author":"Rouhani H","year":"2017","unstructured":"Rouhani H , Same M , Masani K , PID Controller Design for FES Applied to Ankle Muscles in Neuroprosthesis for Standing Balance [J]. Front Neurosci , 2017 , 11(347). Rouhani H, Same M, Masani K, PID Controller Design for FES Applied to Ankle Muscles in Neuroprosthesis for Standing Balance [J]. Front Neurosci, 2017, 11(347)."},{"key":"e_1_3_2_1_6_1","volume-title":"Identification of ankle plantar-flexors dynamics in response to electrical stimulation[J]. Medical engineering & physics","author":"Rouhani H","year":"2016","unstructured":"Rouhani H , Popovic M R , Same M , Identification of ankle plantar-flexors dynamics in response to electrical stimulation[J]. Medical engineering & physics , 2016 , 38(11): 1166-1171. Rouhani H, Popovic M R, Same M, Identification of ankle plantar-flexors dynamics in response to electrical stimulation[J]. Medical engineering & physics, 2016, 38(11): 1166-1171."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1109\/10.284939"},{"unstructured":"Tu X K.The Research of Limb Rehabilitation Technology based on Pneumatic Muscle-Exoskeleton and Functional Electrical Stimulation(in chinese) [D]. Huazhong University of Science and Technology 2016.  Tu X K.The Research of Limb Rehabilitation Technology based on Pneumatic Muscle-Exoskeleton and Functional Electrical Stimulation(in chinese) [D]. Huazhong University of Science and Technology 2016.","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","volume-title":"Ant Colony Optimization Tuning PID Algorithm for Precision Control of Functional Electrical Stimulation[J]. Biomedical Engineering\/Biomedizinische Technik","author":"Qiu S","year":"2013","unstructured":"Qiu S , Xu R , Zhai T , Ant Colony Optimization Tuning PID Algorithm for Precision Control of Functional Electrical Stimulation[J]. Biomedical Engineering\/Biomedizinische Technik , 2013 . Qiu S, Xu R, Zhai T, Ant Colony Optimization Tuning PID Algorithm for Precision Control of Functional Electrical Stimulation[J]. Biomedical Engineering\/Biomedizinische Technik, 2013."},{"key":"e_1_3_2_1_10_1","volume-title":"Environment indoor air quality assessment using fuzzy inference system[J]","author":"Brainvendra Widi Dionova M.N.","year":"2020","unstructured":"Brainvendra Widi Dionova , M.N. Mohammed , S. Al-Zubaidi ,Eddy Yusuf. Environment indoor air quality assessment using fuzzy inference system[J] . Elsevier B.V. , 2020 . Brainvendra Widi Dionova,M.N. Mohammed,S. Al-Zubaidi,Eddy Yusuf. Environment indoor air quality assessment using fuzzy inference system[J]. Elsevier B.V.,2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1002\/mop.23354"},{"doi-asserted-by":"crossref","unstructured":"Ali Esfandiarian Milad Sedaghat Ali Maniatpour Houman Darvish. Application of grid partitioning based fuzzy inference system as a novel predictor to estimate dynamic viscosity of n -alkane[J]. Petroleum Science and Technology 2019 37(23).  Ali Esfandiarian Milad Sedaghat Ali Maniatpour Houman Darvish. Application of grid partitioning based fuzzy inference system as a novel predictor to estimate dynamic viscosity of n -alkane[J]. Petroleum Science and Technology 2019 37(23).","key":"e_1_3_2_1_12_1","DOI":"10.1080\/10916466.2018.1490760"},{"volume-title":"Proceedings of the Institution of Mechanical Engineers,2019","author":"Vali\u0161 David","unstructured":"Vali\u0161 David ,\u017d\u00e1k Libor, Vintr Zdenek . Application of fuzzy inference system for analysis of oil field data to optimize combustion engine maintenance[J] . Proceedings of the Institution of Mechanical Engineers,2019 ,233(14). Vali\u0161 David,\u017d\u00e1k Libor,Vintr Zdenek. Application of fuzzy inference system for analysis of oil field data to optimize combustion engine maintenance[J]. Proceedings of the Institution of Mechanical Engineers,2019,233(14).","key":"e_1_3_2_1_13_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1177\/0954406217711471"},{"doi-asserted-by":"crossref","unstructured":"Swapnasarit Kar Amiya R. Pandit K.C. Biswal. Prediction of FRP shear contribution for wrapped shear deficient RC beams using adaptive neuro-fuzzy inference system (ANFIS)[J]. Structures 2020 23.  Swapnasarit Kar Amiya R. Pandit K.C. Biswal. Prediction of FRP shear contribution for wrapped shear deficient RC beams using adaptive neuro-fuzzy inference system (ANFIS)[J]. Structures 2020 23.","key":"e_1_3_2_1_15_1","DOI":"10.1016\/j.istruc.2019.10.022"},{"unstructured":"Zhu W X.Dynamics-based NARMAX\/ANFIS Muscle Modeling and Fuzzy PID Control of Functional Electrical Stimulation(in chinese)[D].Tianjing University 2012.  Zhu W X.Dynamics-based NARMAX\/ANFIS Muscle Modeling and Fuzzy PID Control of Functional Electrical Stimulation(in chinese)[D].Tianjing University 2012.","key":"e_1_3_2_1_16_1"},{"doi-asserted-by":"crossref","unstructured":"Cesar Marquez-Chin Milos R. Popovic. Functional electrical stimulation therapy for restoration of motor function after spinal cord injury and stroke: a review[J]. BioMedical Engineering OnLine 2020 19(1).  Cesar Marquez-Chin Milos R. Popovic. Functional electrical stimulation therapy for restoration of motor function after spinal cord injury and stroke: a review[J]. BioMedical Engineering OnLine 2020 19(1).","key":"e_1_3_2_1_17_1","DOI":"10.1186\/s12938-020-00773-4"},{"doi-asserted-by":"crossref","unstructured":"Hao Qiang Zongzong Lin Xiaoguang Zou Changkai Sun Wenlian Lu. Synchronizing Non-identical Time-varying Delayed Neural Network Systems via Iterative Learning Control[J]. Neurocomputing 2020.  Hao Qiang Zongzong Lin Xiaoguang Zou Changkai Sun Wenlian Lu. Synchronizing Non-identical Time-varying Delayed Neural Network Systems via Iterative Learning Control[J]. Neurocomputing 2020.","key":"e_1_3_2_1_18_1","DOI":"10.1016\/j.neucom.2020.05.053"},{"doi-asserted-by":"crossref","unstructured":"Sakariya Sa-e Christopher T. Freeman Kai Yang. Iterative learning control of functional electrical stimulation in the presence of voluntary user effort[J]. Control Engineering Practice 2020 96.  Sakariya Sa-e Christopher T. Freeman Kai Yang. Iterative learning control of functional electrical stimulation in the presence of voluntary user effort[J]. Control Engineering Practice 2020 96.","key":"e_1_3_2_1_19_1","DOI":"10.1016\/j.conengprac.2020.104303"},{"doi-asserted-by":"crossref","unstructured":"Yurong Li Wenxin Chen Jun Chen Xin Chen Jie Liang Min Du. Neural network based modeling and control of elbow joint motion under functional electrical stimulation[J]. Neurocomputing 2019 340.  Yurong Li Wenxin Chen Jun Chen Xin Chen Jie Liang Min Du. Neural network based modeling and control of elbow joint motion under functional electrical stimulation[J]. Neurocomputing 2019 340.","key":"e_1_3_2_1_20_1","DOI":"10.1016\/j.neucom.2019.03.003"},{"doi-asserted-by":"crossref","unstructured":"Vahidreza Molazadeh Zhiyu Sheng Xuefeng Bao Nitin Sharma. A Robust Iterative Learning Switching Controller for following Virtual Constraints: Application to a Hybrid Neuroprosthesis[J]. IFAC PapersOnLine 2019 51(34).  Vahidreza Molazadeh Zhiyu Sheng Xuefeng Bao Nitin Sharma. A Robust Iterative Learning Switching Controller for following Virtual Constraints: Application to a Hybrid Neuroprosthesis[J]. IFAC PapersOnLine 2019 51(34).","key":"e_1_3_2_1_21_1","DOI":"10.1016\/j.ifacol.2019.01.011"},{"key":"e_1_3_2_1_22_1","volume-title":"The Iterative Learning Control of PMSM Based on Sliding Mode Observer(in chinese)[J]. Small & Special Electrical Machines","author":"Li H,LIU S Y","year":"2018","unstructured":"Li H,LIU S Y , Tian Y J , The Iterative Learning Control of PMSM Based on Sliding Mode Observer(in chinese)[J]. Small & Special Electrical Machines , 2018 ,46(01):41-44+48 Li H,LIU S Y,Tian Y J , The Iterative Learning Control of PMSM Based on Sliding Mode Observer(in chinese)[J]. Small & Special Electrical Machines, 2018,46(01):41-44+48"}],"event":{"acronym":"CIIS 2020","name":"CIIS 2020: 2020 The 3rd International Conference on Computational Intelligence and Intelligent Systems","location":"Tokyo Japan"},"container-title":["Proceedings of the 2020 3rd International Conference on Computational Intelligence and Intelligent Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3440840.3440853","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3440840.3440853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:18Z","timestamp":1750195698000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3440840.3440853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,13]]},"references-count":22,"alternative-id":["10.1145\/3440840.3440853","10.1145\/3440840"],"URL":"https:\/\/doi.org\/10.1145\/3440840.3440853","relation":{},"subject":[],"published":{"date-parts":[[2020,11,13]]},"assertion":[{"value":"2021-02-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}