{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T19:47:09Z","timestamp":1780343229415,"version":"3.54.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T00:00:00Z","timestamp":1655942400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T00:00:00Z","timestamp":1655942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573013"],"award-info":[{"award-number":["61573013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s40815-022-01317-9","type":"journal-article","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T17:35:48Z","timestamp":1656005748000},"page":"3000-3014","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Coordinated Fuzzy Adaptive Iterative Learning Control of Consensus for Unknown Nonlinear Multi-agent Systems"],"prefix":"10.1007","volume":"24","author":[{"given":"Mengdan","family":"Liang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junmin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinsha","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,23]]},"reference":[{"issue":"16","key":"1317_CR1","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1049\/iet-cta.2019.1136","volume":"14","author":"XW Gu","year":"2020","unstructured":"Gu, X.W., Niu, Y.G., et al.: Adaptive non-singular fast terminal sliding mode control for multi-agent systems with unknown non-linear dynamics. IET Control Theory Appl. 14(16), 2223\u20132232 (2020)","journal-title":"IET Control Theory Appl."},{"key":"1317_CR2","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.neucom.2020.04.119","volume":"404","author":"YF Liu","year":"2020","unstructured":"Liu, Y.F., Li, T.S., et al.: Online optimal consensus control of unknown linear multi-agent systems via time-based adaptive dynamic programming. Neurocomputing 404, 137\u2013144 (2020)","journal-title":"Neurocomputing"},{"issue":"31","key":"1317_CR3","first-page":"566","volume":"51","author":"NN Zhang","year":"2018","unstructured":"Zhang, N.N., Niu, W.J., et al.: Consistency control of multi-agent system based on unknown input observer. Int. Federation Autom. Control 51(31), 566\u2013571 (2018)","journal-title":"Int. Federation Autom. Control"},{"issue":"5","key":"1317_CR4","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1002\/rnc.3603","volume":"27","author":"YL Gao","year":"2017","unstructured":"Gao, Y.L., Dai, L., et al.: Distributed model predictive control for consensus of nonlinear second-order multi-agent systems. Int. J. Robust Nonlinear Control 27(5), 830\u2013842 (2017)","journal-title":"Int. J. Robust Nonlinear Control"},{"issue":"6","key":"1317_CR5","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1109\/TPDS.2020.3048383","volume":"32","author":"P Zhang","year":"2021","unstructured":"Zhang, P., Xue, H.F., et al.: Distributed adaptive consensus tracking control for multi-agent system with communication constraints. IEEE Trans. Parallel Distrib. Syst. 32(6), 1293\u20131306 (2021)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"5","key":"1317_CR6","doi-asserted-by":"publisher","first-page":"3168","DOI":"10.1109\/TSMC.2019.2919027","volume":"51","author":"QL Hu","year":"2021","unstructured":"Hu, Q.L., Shi, Y.X., et al.: Event-based formation coordinated control for multiple spacecraft under communication constraints. IEEE Trans. Syst. Man Cybern. Syst. 51(5), 3168\u20133179 (2021)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"1317_CR7","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.ins.2021.01.011","volume":"558","author":"H Liu","year":"2021","unstructured":"Liu, H., Peng, F.C., et al.: Heterogeneous formation control of multiple rotorcrafts with unknown dynamics by reinforcement learning. Inf. Sci. 558, 194\u2013207 (2021)","journal-title":"Inf. Sci."},{"issue":"5","key":"1317_CR8","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1109\/TCYB.2015.2428056","volume":"46","author":"F Xiao","year":"2016","unstructured":"Xiao, F., Chen, T.W., et al.: Synchronous hybrid event and time-driven consensus in multi-agent networks with time delays. IEEE Trans. Cybern. 46(5), 1165\u20131174 (2016)","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"1317_CR9","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1109\/TCYB.2016.2537307","volume":"47","author":"H Fang","year":"2017","unstructured":"Fang, H., Wei, Y., et al.: Flocking of second-order multi-agent systems with connectivity preservation based on algebraic connectivity estimation[J]. IEEE Trans. Cybern. 47(4), 1067\u20131077 (2017)","journal-title":"IEEE Trans. Cybern."},{"issue":"14","key":"1317_CR10","doi-asserted-by":"publisher","first-page":"4943","DOI":"10.1002\/rnc.4661","volume":"29","author":"K Li","year":"2019","unstructured":"Li, K., Mu, X.W.: Containment control of stochastic multi-agent systems with semi-Markovian switching topologies. Int. J. Robust Nonlinear Control 29(14), 4943\u20134955 (2019)","journal-title":"Int. J. Robust Nonlinear Control"},{"key":"1317_CR11","unstructured":"Ahn, H.S., Chen, Y.Q.: Iterative learning control for multi-agent formation. In: Proceedings of the 2009 ICCAS-SICE IEEE, pp. 3111\u20133116 (2009)"},{"issue":"1","key":"1317_CR12","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1049\/iet-cta.2012.0048","volume":"7","author":"JS Li","year":"2013","unstructured":"Li, J.S., Li, J.M.: Adaptive iterative learning control for consensus of multi-agent systems. IET Control Theory Appl. 7(1), 136\u2013142 (2013)","journal-title":"IET Control Theory Appl."},{"issue":"13","key":"1317_CR13","doi-asserted-by":"publisher","first-page":"2396","DOI":"10.1177\/0142331220911833","volume":"42","author":"XF Deng","year":"2020","unstructured":"Deng, X.F., Sun, X.X.: Distributed adaptive iterative learning control for the consensus tracking of heterogeneous nonlinear multi-agent systems. Trans. Inst. Meas. Control 42(13), 2396\u20132409 (2020)","journal-title":"Trans. Inst. Meas. Control"},{"key":"1317_CR14","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.neucom.2020.01.108","volume":"393","author":"GL Li","year":"2020","unstructured":"Li, G.L., Ren, C.E., et al.: Adaptive iterative learning consensus control for second-order multi-agent systems with unknown control gains. Neurocomputing 393, 15\u201326 (2020)","journal-title":"Neurocomputing"},{"issue":"15","key":"1317_CR15","doi-asserted-by":"publisher","first-page":"6183","DOI":"10.1007\/s00500-018-3271-1","volume":"23","author":"H Wu","year":"2019","unstructured":"Wu, H., Li, J.M.: Coordination control of uncertain topological high-order multi-agent systems: distributed fuzzy adaptive iterative learning approach. Soft. Comput. 23(15), 6183\u20136196 (2019)","journal-title":"Soft. Comput."},{"key":"1317_CR16","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.sysconle.2015.12.009","volume":"89","author":"X Jin","year":"2016","unstructured":"Jin, X.: Adaptive iterative learning control for high-order nonlinear multi-agent systems consensus tracking. Syst. Control Lett. 89, 16\u201323 (2016)","journal-title":"Syst. Control Lett."},{"issue":"12","key":"1317_CR17","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.1016\/j.automatica.2010.08.008","volume":"46","author":"A Das","year":"2010","unstructured":"Das, A., Lewis, F.L.: Distributed adaptive control for synchronization of unknown nonlinear networked systems. Automatica 46(12), 2014\u20132021 (2010)","journal-title":"Automatica"},{"key":"1317_CR18","doi-asserted-by":"publisher","first-page":"37613","DOI":"10.1109\/ACCESS.2021.3063384","volume":"9","author":"ZZ Yu","year":"2021","unstructured":"Yu, Z.Z., Zhang, H.W., et al.: Iterative learning consensus tracking for multi-agent systems with output constraints and data losses. IEEE Access 9, 37613\u201337621 (2021)","journal-title":"IEEE Access"},{"issue":"8","key":"1317_CR19","doi-asserted-by":"publisher","first-page":"2546","DOI":"10.1007\/s40815-020-00941-7","volume":"22","author":"TT Huynh","year":"2020","unstructured":"Huynh, T.T., Lin, C.M., et al.: Wavelet interval type-2 fuzzy quad-function-link brain emotional control algorithm for the synchronization of 3D nonlinear chaotic systems. Int. J. Fuzzy Syst. 22(8), 2546\u20132564 (2020)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"2","key":"1317_CR20","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1007\/s40815-018-0550-z","volume":"21","author":"TT Huynh","year":"2019","unstructured":"Huynh, T.T., Le, T.L., et al.: Self-organizing recurrent wavelet fuzzy neural network-based control system design for MIMO uncertain nonlinear systems Using TOPSIS method. Int. J. Fuzzy Syst. 21(2), 468\u2013487 (2019)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"6","key":"1317_CR21","doi-asserted-by":"publisher","first-page":"1839","DOI":"10.1007\/s40815-018-0482-7","volume":"20","author":"CM Lin","year":"2019","unstructured":"Lin, C.M., Huynh, T.T.: Function-link fuzzy cerebellar model articulation controller design for nonlinear chaotic systems using TOPSIS multiple attribute decision-making method. Int. J. Fuzzy Syst. 20(6), 1839\u20131856 (2019)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"5","key":"1317_CR22","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1007\/s40815-017-0301-6","volume":"19","author":"TT Huynh","year":"2017","unstructured":"Huynh, T.T., Le, T.L.: PSO-self-organizing interval type-2 fuzzy neural network for antilock braking systems. Int. J. Fuzzy Syst. 19(5), 1362\u20131374 (2017)","journal-title":"Int. J. Fuzzy Syst."},{"key":"1317_CR23","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.neucom.2020.08.012","volume":"418","author":"NN Yang","year":"2020","unstructured":"Yang, N.N., Li, J.M., et al.: Completely distributed neuro-learning consensus with position constraints and partially unknown control directions. Neurocomputing 418, 251\u2013262 (2020)","journal-title":"Neurocomputing"},{"key":"1317_CR24","doi-asserted-by":"publisher","first-page":"163026","DOI":"10.1109\/ACCESS.2020.3012983","volume":"8","author":"CT Yaw","year":"2020","unstructured":"Yaw, C.T., Yap, K.S., et al.: Enhancement of neural network based multi agent system for classification and regression in energy system. IEEE Access 8, 163026\u2013163043 (2020)","journal-title":"IEEE Access"},{"key":"1317_CR25","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.fss.2013.10.010","volume":"248","author":"JM Li","year":"2014","unstructured":"Li, J.M., Li, J.S.: Adaptive fuzzy iterative learning control with initial-state learning for coordination control of leader-following multi-agent systems. Fuzzy Sets Syst. 248, 122\u2013137 (2014)","journal-title":"Fuzzy Sets Syst."},{"key":"1317_CR26","doi-asserted-by":"crossref","unstructured":"Deng, X.F., Sun, X.X., et al.: Leader-following consensus for second-order nonlinear multi-agent systems with input saturation via distributed adaptive neural network iterative learning control. Complexity 9858504(2019)","DOI":"10.1155\/2019\/9858504"},{"issue":"4","key":"1317_CR27","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1049\/iet-cta.2019.0738","volume":"14","author":"Y Ren","year":"2020","unstructured":"Ren, Y., Hou, Z.S.: Robust model-free adaptive iterative learning formation for unknown heterogeneous non-linear multi-agent systems. IET Control Theory Appl. 14(4), 654\u2013663 (2020)","journal-title":"IET Control Theory Appl."},{"key":"1317_CR28","volume":"365","author":"YC Wang","year":"2020","unstructured":"Wang, Y.C., Li, H.F., et al.: Consensus tracking for nonlinear multi-agent systems with unknown disturbance by using model free adaptive iterative learning control. Appl. Math. Comput. 365, 124701 (2020)","journal-title":"Appl. Math. Comput."},{"issue":"4","key":"1317_CR29","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1109\/TSMC.2017.2734799","volume":"49","author":"XH Bu","year":"2019","unstructured":"Bu, X.H., Yu, Q.X., et al.: Model free adaptive iterative learning consensus tracking control for a class of nonlinear multiagent systems. IEEE Trans. Syst. Man Cybern. Syst. 49(4), 677\u2013686 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"7","key":"1317_CR30","doi-asserted-by":"publisher","first-page":"4067","DOI":"10.1109\/TSMC.2019.2931289","volume":"51","author":"DQ Huang","year":"2021","unstructured":"Huang, D.Q., Chen, Y., et al.: Adaptive iterative learning control for high-speed train: a multi-agent approach. IEEE Trans. Syst. Man Cybern. Syst. 51(7), 4067\u20134077 (2021)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"3","key":"1317_CR31","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1080\/00207721.2017.1412533","volume":"49","author":"JX Chen","year":"2018","unstructured":"Chen, J.X., Li, J.M.: Fuzzy adaptive iterative learning coordination control of second-order multi-agent systems with imprecise communication topology structure. Int. J. Syst. Sci. 49(3), 546\u2013556 (2018)","journal-title":"Int. J. Syst. Sci."},{"issue":"12","key":"1317_CR32","doi-asserted-by":"publisher","first-page":"1779","DOI":"10.1002\/acs.2799","volume":"31","author":"D Shen","year":"2017","unstructured":"Shen, D., Xu, J.X.: Distributed adaptive iterative learning control for nonlinear multiagent systems with state constraints. Int. J. Adapt. Control Signal Process. 31(12), 1779\u20131807 (2017)","journal-title":"Int. J. Adapt. Control Signal Process."},{"issue":"13","key":"1317_CR33","doi-asserted-by":"publisher","first-page":"4328","DOI":"10.1002\/rnc.4627","volume":"29","author":"D Shen","year":"2019","unstructured":"Shen, D., Zhang, C., et al.: Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems. Int. J. Robust Nonlinear Control 29(13), 4328\u20134347 (2019)","journal-title":"Int. J. Robust Nonlinear Control"},{"issue":"10","key":"1317_CR34","doi-asserted-by":"publisher","first-page":"2318","DOI":"10.1080\/00207721.2014.993139","volume":"47","author":"JS Li","year":"2016","unstructured":"Li, J.S., Li, J.M.: Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems. Int. J. Syst. Sci. 47(10), 2318\u20132329 (2016)","journal-title":"Int. J. Syst. Sci."},{"issue":"9","key":"1317_CR35","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TAC.2009.2026849","volume":"54","author":"MX Sun","year":"2009","unstructured":"Sun, M.X.: A barbalat-like lemma with its application to learning control. IEEE Trans. Autom. Control 54(9), 2222\u20132225 (2009)","journal-title":"IEEE Trans. Autom. Control"}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-022-01317-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-022-01317-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-022-01317-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T06:33:48Z","timestamp":1661841228000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-022-01317-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,23]]},"references-count":35,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["1317"],"URL":"https:\/\/doi.org\/10.1007\/s40815-022-01317-9","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,23]]},"assertion":[{"value":"21 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}