{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T15:41:18Z","timestamp":1705678878657},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Syst Sci Complex"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11424-020-9119-7","type":"journal-article","created":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T11:42:31Z","timestamp":1599738151000},"page":"502-519","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fuzzy Modeling of Non-Uniformly Sampling Nonlinear Systems Based on Clustering Method and Convergence Analysis"],"prefix":"10.1007","volume":"34","author":[{"given":"Hongwei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Lirong","family":"Xie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,9]]},"reference":[{"issue":"2","key":"9119_CR1","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.automatica.2008.08.007","volume":"45","author":"F Ding","year":"2009","unstructured":"Ding F, Qiu L, and Chen T, Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems, Automatica, 2009, 45(2): 324\u2013332.","journal-title":"Automatica"},{"issue":"1","key":"9119_CR2","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.automatica.2007.05.009","volume":"44","author":"W Li","year":"2008","unstructured":"Li W, Shah S L, and Xiao D, Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond, Automatica, 2008, 44(1): 199\u2013208.","journal-title":"Automatica"},{"issue":"3","key":"9119_CR3","doi-asserted-by":"publisher","first-page":"1646","DOI":"10.1016\/j.automatica.2011.05.007","volume":"47","author":"F Ding","year":"2011","unstructured":"Ding F, Liu G L, and Liu X P, Parameter estimation with scarce measurements, Automatica, 2011, 47(3): 1646\u20131655.","journal-title":"Automatica"},{"issue":"6","key":"9119_CR4","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1109\/TCSI.2005.849144","volume":"52","author":"F Ding","year":"2005","unstructured":"Ding F and Chen T, Hierarchical least squares identification methods for multivariable systems, IEEE Trans. Circuits Syst. I, 2005, 52(6): 1179\u20131187.","journal-title":"IEEE Trans. Circuits Syst. I"},{"issue":"3","key":"9119_CR5","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/TAC.2005.843856","volume":"50","author":"F Ding","year":"2005","unstructured":"Ding F and Chen T, Hierarchical identification of lifted state-space models for general dual-rate systems, IEEE Trans. Autom. Control, 2005, 50(3): 397\u2013402.","journal-title":"IEEE Trans. Autom. Control"},{"issue":"2","key":"9119_CR6","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/S0005-1098(01)00244-8","volume":"38","author":"E K Larsson","year":"2002","unstructured":"Larsson E K and Derstro M S, Identification of continuous time AR processes from unevenly sampled data, Automatica, 2002, 38(2): 709\u2013718.","journal-title":"Automatica"},{"issue":"3","key":"9119_CR7","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1109\/TAC.2007.892374","volume":"52","author":"E K Larsson","year":"2007","unstructured":"Larsson E K, Mossberg M, and Derstro M S, Identification of continuous-time ARX models from irregularly sampled data, IEEE Trans. Autom. Control, 2007, 52(3): 417\u2013426.","journal-title":"IEEE Trans. Autom. Control"},{"issue":"3","key":"9119_CR8","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1016\/S0005-1098(01)00236-9","volume":"38","author":"R Sanchis","year":"2002","unstructured":"Sanchis R and Albertos P, Recursive identification under scarce measurements-convergence analysis, Automatica, 2002, 38(3): 909\u2013918.","journal-title":"Automatica"},{"issue":"8","key":"9119_CR9","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1109\/TAC.1984.1103633","volume":"29","author":"J Kanniah","year":"1984","unstructured":"Kanniah J, Malik O P, and Hope G S, Self-tuning regulator based on dual-rate sampling, IEEE Transactions on Automatic Control, 1984, 29(8): 755\u2013759.","journal-title":"IEEE Transactions on Automatic Control"},{"issue":"2","key":"9119_CR10","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TFUZZ.2005.861614","volume":"14","author":"M Kumar","year":"2006","unstructured":"Kumar M, Stoll R, and Stoll N, A robust design criterion for interpretable fuzzy models with uncertain data, IEEE Transactions Fuzzy Systems, 2006, 14(2): 314\u2013328.","journal-title":"IEEE Transactions Fuzzy Systems"},{"key":"9119_CR11","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1016\/j.automatica.2006.01.013","volume":"42","author":"M Kumar","year":"2006","unstructured":"Kumar M, Stoll R, and Stoll N, An energy-gain bounding approach to robust fuzzy identification, Automatica, 2006, 42: 711\u2013721.","journal-title":"Automatica"},{"key":"9119_CR12","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/S0959-1524(02)00120-8","volume":"13","author":"A N Venkat","year":"2003","unstructured":"Venkat A N, Vijaysai P, and Gudi R D, dentification of complex nonlinear processes based on fuzzy decomposition of the steady state space, Journal of Process Control, 2003, 13: 473\u2013488.","journal-title":"Journal of Process Control"},{"key":"9119_CR13","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/S1367-5788(03)00009-9","volume":"27","author":"R Babuka","year":"2003","unstructured":"Babuka R and Verbruggen H, Neuro-fuzzy methods for nonlinear system identification, Annual Reviews in Control, 2003, 27: 73\u201385.","journal-title":"Annual Reviews in Control"},{"issue":"4","key":"9119_CR14","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1109\/91.728458","volume":"6","author":"E Kim","year":"1998","unstructured":"Kim E, Park M, Kim S, et al., A transformed input-domain approach to fuzzy modeling, IEEE Transaction on Fuzzy Systems, 1998, 6(4): 596\u2013603.","journal-title":"IEEE Transaction on Fuzzy Systems"},{"key":"9119_CR15","unstructured":"Gustafson D E and Kessel W C, Fuzzy clustering with a fuzzy convariance matrix, Conference of Control and Decision, San Diego, 1979, 761\u2013766."},{"issue":"4","key":"9119_CR16","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1109\/91.868948","volume":"8","author":"M Setnes","year":"2000","unstructured":"Setnes M, Supervised fuzzy clustering for rules extraction, IEEE Transaction on Fuzzy Systems, 2000, 8(4): 416\u2013424.","journal-title":"IEEE Transaction on Fuzzy Systems"},{"key":"9119_CR17","volume-title":"Adaptive Filtering Prediction and Control","author":"G C Goodwin","year":"1984","unstructured":"Goodwin G C and Sin K S, Adaptive Filtering Prediction and Control, Prentice-Hall, Englewood Cliffs, NJ, 1984."},{"key":"9119_CR18","volume-title":"Systems Identification-Performance Analysis of the Identification Methods","author":"F Ding","year":"2014","unstructured":"Ding F, Systems Identification-Performance Analysis of the Identification Methods, Science Press in China, Beijing, 2014."},{"key":"9119_CR19","volume-title":"New Theory of System Identification","author":"F Ding","year":"2013","unstructured":"Ding F, New Theory of System Identification, Science Press in China, Beijing, 2013."},{"key":"9119_CR20","volume-title":"Adaptive Control System","author":"X M Xie","year":"2002","unstructured":"Xie X M and Ding F, Adaptive Control System, Tsinghua University Press, Beijing, 2002."}],"container-title":["Journal of Systems Science and Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-9119-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11424-020-9119-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-9119-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,8]],"date-time":"2021-09-08T23:45:02Z","timestamp":1631144702000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11424-020-9119-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,9]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["9119"],"URL":"https:\/\/doi.org\/10.1007\/s11424-020-9119-7","relation":{},"ISSN":["1009-6124","1559-7067"],"issn-type":[{"value":"1009-6124","type":"print"},{"value":"1559-7067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,9]]},"assertion":[{"value":"10 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}