{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T07:20:47Z","timestamp":1770708047076,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"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":["No.61602259, No. 61701251, No.61803213, No. 61672299"],"award-info":[{"award-number":["No.61602259, No. 61701251, No.61803213, No. 61672299"]}],"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":[[2020,9]]},"DOI":"10.1007\/s40815-020-00883-0","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T11:03:42Z","timestamp":1594206222000},"page":"1905-1921","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["An Adaptive DE Algorithm Based Fuzzy Logic Anti-swing Controller for Overhead Crane Systems"],"prefix":"10.1007","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6694-2568","authenticated-orcid":false,"given":"Zhe","family":"Sun","sequence":"first","affiliation":[]},{"given":"Yawen","family":"Ling","sequence":"additional","affiliation":[]},{"given":"Hongbo","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Xiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6148-9688","authenticated-orcid":false,"given":"Zhixin","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Fan","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"issue":"10","key":"883_CR1","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1016\/S0967-0661(00)00054-X","volume":"8","author":"W Singhose","year":"2000","unstructured":"Singhose, W., Porter, L., Kenison, M., Kriikku, E.: Effects of hoisting on the input shaping control of gantry cranes. Control Eng. Pract. 8(10), 1159\u20131165 (2000)","journal-title":"Control Engineering Practice"},{"issue":"9","key":"883_CR2","doi-asserted-by":"publisher","first-page":"2392","DOI":"10.1016\/j.automatica.2008.01.029","volume":"44","author":"KL Sorensen","year":"2008","unstructured":"Sorensen, K.L., Singhose, W.E.: Command-induced vibration analysis using input shaping principles. Automatica 44(9), 2392\u20132397 (2008)","journal-title":"Automatica"},{"key":"883_CR3","unstructured":"Yoshida, Y., Tabata, H.: Visual feedback control of an overhead crane and its combination with time-optimal control. In: 2008 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics, pp. 1114\u20131119 (2008)"},{"key":"883_CR4","doi-asserted-by":"crossref","unstructured":"Sun, Z., Wang, N., Bi, Y., Zhao, J.: A de based pid controller for two dimensional overhead crane. In: 2015 34th Chinese Control Conference (CCC),  pp. 2546\u20132550 (2015)","DOI":"10.1109\/ChiCC.2015.7260032"},{"issue":"3","key":"883_CR5","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1002\/eej.22412","volume":"184","author":"H Sano","year":"2013","unstructured":"Sano, H., Sato, K., Ohishi, K., Miyazaki, T.: Robust design of vibration suppression control system for crane using sway angle observer considering friction disturbance. Electrical Eng. Japan 184(3), 36\u201346 (2013)","journal-title":"Electrical Eng. Japan"},{"issue":"9","key":"883_CR6","doi-asserted-by":"publisher","first-page":"2350","DOI":"10.1016\/j.automatica.2014.07.023","volume":"50","author":"N Sun","year":"2014","unstructured":"Sun, N., Fang, Y.: Nonlinear tracking control of underactuated cranes with load transferring and lowering: theory and experimentation. Automatica 50(9), 2350\u20132357 (2014)","journal-title":"Automatica"},{"issue":"3","key":"883_CR7","doi-asserted-by":"publisher","first-page":"2135","DOI":"10.1109\/TIE.2016.2623258","volume":"64","author":"N Sun","year":"2017","unstructured":"Sun, N., Fang, Y., Chen, H., Lu, B.: Amplitude-saturated nonlinear output feedback antiswing control for underactuated cranes with double-pendulum cargo dynamics. IEEE Trans. Ind. Electron 64(3), 2135\u20132146 (2017)","journal-title":"IEEE Trans. Ind. Electron"},{"issue":"3","key":"883_CR8","doi-asserted-by":"publisher","first-page":"2135","DOI":"10.1109\/TIE.2016.2623258","volume":"64","author":"N Sun","year":"2017","unstructured":"Sun, N., Fang, Y., Chen, H.: Amplitude-saturated nonlinear output feedback antiswing control for underactuated cranes with double-pendulum cargo dynamics. IEEE Trans. Ind. Electron 64(3), 2135\u20132146 (2017)","journal-title":"IEEE Trans. Ind. Electron"},{"issue":"5","key":"883_CR9","doi-asserted-by":"publisher","first-page":"2107","DOI":"10.1109\/TMECH.2014.2364308","volume":"20","author":"N Sun","year":"2015","unstructured":"Sun, N., Fang, Y., Chen, H., He, B.: Adaptive nonlinear crane control with load hoisting\/lowering and unknown parameters: design and experiments. IEEE\/ASME Trans. Mechatronics 20(5), 2107\u20132119 (2015)","journal-title":"IEEE\/ASME Trans. Mechatronics"},{"issue":"4","key":"883_CR10","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1109\/TCYB.2017.2688407","volume":"48","author":"Y Wu","year":"2018","unstructured":"Wu, Y., Lu, R., Shi, P., Su, H., Wu, Z.: Analysis and design of synchronization for heterogeneous network. IEEE Trans. Cybern. 48(4), 1253\u20131262 (2018)","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"883_CR11","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1109\/TSMC.2018.2815032","volume":"49","author":"C Du","year":"2019","unstructured":"Du, C., Yang, C., Li, F., Gui, W.: A novel asynchronous control for artificial delayed markovian jump systems via output feedback sliding mode approach. IEEE Trans. Syst. Man Cybern. Syst. 49(2), 364\u2013374 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"9","key":"883_CR12","doi-asserted-by":"publisher","first-page":"2480","DOI":"10.1109\/TCYB.2016.2582747","volume":"47","author":"X Xie","year":"2017","unstructured":"Xie, X., Yue, D., Zhang, H., Peng, C.: Control synthesis of discrete-time t-s fuzzy systems: reducing the conservatism whilst alleviating the computational burden. IEEE Trans. Cybern. 47(9), 2480\u20132491 (2017)","journal-title":"IEEE Trans. Cybern."},{"issue":"5","key":"883_CR13","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1109\/TFUZZ.2018.2791983","volume":"26","author":"X Xie","year":"2018","unstructured":"Xie, X., Yue, D., Park, J.H., Li, H.: Relaxed fuzzy observer design of discrete-time nonlinear systems via two effective technical measures. IEEE Trans. Fuzzy Syst. 26(5), 2833\u20132845 (2018)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"2","key":"883_CR14","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1109\/TFUZZ.2017.2686378","volume":"26","author":"D Zhai","year":"2018","unstructured":"Zhai, D., An, L., Dong, J., Zhang, Q.: Switched adaptive fuzzy tracking control for a class of switched nonlinear systems under arbitrary switching. IEEE Tran. Fuzzy Syst. 26(2), 585\u2013597 (2018)","journal-title":"IEEE Tran. Fuzzy Syst."},{"issue":"12","key":"883_CR15","doi-asserted-by":"publisher","first-page":"9439","DOI":"10.1109\/TIE.2019.2892696","volume":"66","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Yang, X., Yan, H.: Reliable fuzzy tracking control of near-space hypersonic vehicle using aperiodic measurement information. IEEE Trans. Ind. Electron. 66(12), 9439\u20139447 (2019)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"883_CR16","unstructured":"Wang, Y., Karimi, H.R., Lam, H., Yan, H.: Fuzzy output tracking control and filtering for nonlinear discrete-time descriptor systems under unreliable communication links. IEEE Transactions on Cybernetics, pp. 1\u201311 (2019)"},{"issue":"6","key":"883_CR17","doi-asserted-by":"publisher","first-page":"2572","DOI":"10.1109\/TMECH.2019.2929224","volume":"24","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Zhou, W., Luo, J., Yan, H., Pu, H., Peng, Y.: Reliable intelligent path following control for a robotic airship against sensor faults. IEEE\/ASME Trans. Mechatronics 24 (6), 2572\u20132582 (2019)","journal-title":"IEEE\/ASME Trans. Mechatronics"},{"issue":"9","key":"883_CR18","doi-asserted-by":"publisher","first-page":"2723","DOI":"10.1109\/TCYB.2017.2749239","volume":"48","author":"Y Wei","year":"2018","unstructured":"Wei, Y., Qiu, J., Shi, P., Wu, L.: A piecewise-markovian lyapunov approach to reliable output feedback control for fuzzy-affine systems with time-delays and actuator faults. IEEE Trans. Cybern. 48(9), 2723\u20132735 (2018)","journal-title":"IEEE Trans. Cybern."},{"issue":"6","key":"883_CR19","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1109\/TFUZZ.2016.2633323","volume":"25","author":"Y Wei","year":"2017","unstructured":"Wei, Y., Qiu, J., Lam, H.K.: A novel approach to reliable output feedback control of fuzzy-affine systems with time delays and sensor faults. IEEE Trans. Fuzzy Syst.25(6), 1808\u20131823 (2017)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"883_CR20","doi-asserted-by":"crossref","unstructured":"Wang, L., Zhang, H., Kong, Z.: Anti-swing control of overhead crane based on double fuzzy controllers. In: The 27th Chinese Control and Decision Conference (2015 CCDC),  pp. 981\u2013986 (2015)","DOI":"10.1109\/CCDC.2015.7162061"},{"issue":"3","key":"883_CR21","first-page":"15","volume":"38","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Chen, W., Cui, T., Tong, X.: An online secondary path modeling algorithm based on gradient descent for active noise control. Noise Vibration Control 38(3), 15\u201319 (2018)","journal-title":"Noise Vibration Control"},{"key":"883_CR22","doi-asserted-by":"publisher","first-page":"44391","DOI":"10.1109\/ACCESS.2019.2908961","volume":"7","author":"X Han","year":"2019","unstructured":"Han, X., Dong, Y., Yue, L., Xu, Q.: State transition simulated annealing algorithm for discrete-continuous optimization problems. IEEE Access 7, 44391\u201344403 (2019)","journal-title":"IEEE Access"},{"key":"883_CR23","doi-asserted-by":"crossref","unstructured":"Gao, X.M., Yang, Y., Wu, Z.H.: Genetic algorithm for scheduling double different size crane system with different truck ready times. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp.  447\u2013451 (2016)","DOI":"10.1109\/IEEM.2016.7797915"},{"issue":"1","key":"883_CR24","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1109\/TMECH.2016.2598606","volume":"22","author":"J Smoczek","year":"2017","unstructured":"Smoczek, J., Szpytko, J.: Particle swarm optimization-based multivariable generalized predictive control for an overhead crane. IEEE\/ASME Trans. Mechatronics 22(1), 258\u2013268 (2017)","journal-title":"IEEE\/ASME Trans. Mechatronics"},{"issue":"12","key":"883_CR25","doi-asserted-by":"publisher","first-page":"2706","DOI":"10.1109\/TCYB.2015.2486779","volume":"46","author":"C Juang","year":"2016","unstructured":"Juang, C., Jeng, T., Chang, Y.: An interpretable fuzzy system learned through online rule generation and multiobjective aco with a mobile robot control application. IEEE Trans. Cybern. 46(12), 2706\u20132718 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"883_CR26","doi-asserted-by":"crossref","unstructured":"Reynoso-Meza, G., Sanchis, J., Blasco, X. Design of continuous controllers using a multiobjective differential evolution algorithm with spherical pruning. In: International Conference on Applications of Evolutionary Computation, pp.  532\u2013541 (2010)","DOI":"10.1007\/978-3-642-12239-2_55"},{"issue":"6","key":"883_CR27","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1109\/TCYB.2013.2278188","volume":"44","author":"S Das","year":"2014","unstructured":"Das, S., Mandal, A., Mukherjee, R.: An adaptive differential evolution algorithm for global optimization in dynamic environments. IEEE Trans Cybern 44(6), 966\u2013978 (2014)","journal-title":"IEEE Trans. Cybern."},{"issue":"1","key":"883_CR28","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/TCYB.2015.2399478","volume":"46","author":"Q Fan","year":"2016","unstructured":"Fan, Q., Yan, X.: Self-adaptive differential evolution algorithm with zoning evolution of control parameters and adaptive mutation strategies. IEEE Trans. Cybern. 46(1), 219\u2013232 (2016)","journal-title":"IEEE Trans. Cybern."},{"issue":"5","key":"883_CR29","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1109\/TEVC.2013.2281528","volume":"18","author":"RA Sarker","year":"2014","unstructured":"Sarker, R.A., Elsayed, S.M., Ray, T.: Differential evolution with dynamic parameters selection for optimization problems. IEEE Trans. Evol. Comput. 18(5), 689\u2013707 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"883_CR30","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.ijepes.2014.04.022","volume":"62","author":"Z Sun","year":"2014","unstructured":"Sun, Z., Wang, N., Srinivasan, D., Bi, Y.: Optimal tunning of type-2 fuzzy logic power system stabilizer based on differential evolution algorithm. Int. J. Electrical Power Energy Syst.62, 19\u201328 (2014)","journal-title":"Int. J .Electrical Power Energy Syst."},{"issue":"Supplement C","key":"883_CR31","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.compstruct.2016.08.039","volume":"158","author":"DT Do","year":"2016","unstructured":"Do, D.T., Lee, S., Lee, J.: A modified differential evolution algorithm for tensegrity structures. Composite Struct. 158(Supplement C), 11\u201319 (2016)","journal-title":"Composite Struct."},{"issue":"Supplement C","key":"883_CR32","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.asoc.2017.03.032","volume":"57","author":"C Fu","year":"2017","unstructured":"Fu, C., Jiang, C., Chen, G., Liu, Q.: An adaptive differential evolution algorithm with an aging leader and challengers mechanism. Appl. Soft Comput.57(Supplement C), 60\u201373 (2017)","journal-title":"Appl. Soft Comput."},{"issue":"Part 1","key":"883_CR33","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/j.rser.2017.08.014","volume":"81","author":"S Suganthi","year":"2018","unstructured":"Suganthi, S., Devaraj, D., Ramar, K., Thilagar, S.H.: An improved differential evolution algorithm for congestion management in the presence of wind turbine generators. Renew. Sust. Energy Rev. 81(Part 1), 635\u2013642 (2018)","journal-title":"Renew. Sust. Energy Rev."},{"issue":"Supplement C","key":"883_CR34","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.ins.2017.09.002","volume":"422","author":"L Cui","year":"2018","unstructured":"Cui, L., Li, G., Zhu, Z., Lin, Q., Wong, K.C., Chen, J., et al.: Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism. Inform. Sci. 422(Supplement C), 122\u2013143 (2018)","journal-title":"Inform. Sci."},{"issue":"6","key":"883_CR35","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J Brest","year":"2006","unstructured":"Brest, J., Greiner, S., Boskovic, B., Mernik, M., Zumer, V.: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans. Evol. Comput. 10(6), 646\u2013657 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"883_CR36","doi-asserted-by":"publisher","first-page":"1334","DOI":"10.1016\/j.energy.2015.06.081","volume":"90","author":"Z Sun","year":"2015","unstructured":"Sun, Z., Wang, N., Bi, Y., Srinivasan, D.: Parameter identification of pemfc model based on hybrid adaptive differential evolution algorithm. Energy 90, 1334\u20131341 (2015)","journal-title":"Energy"},{"key":"883_CR37","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.renene.2016.06.024","volume":"97","author":"C Chellaswamy","year":"2016","unstructured":"Chellaswamy, C., Ramesh, R.: Parameter extraction of solar cell models based on adaptive differential evolution algorithm. Renew. Energy 97, 823\u2013837 (2016)","journal-title":"Renew. Energy"},{"key":"883_CR38","doi-asserted-by":"crossref","unstructured":"Wang, X., Liu, H., Lai, X., Xu, Z., Jiang, R.: A new approach of anti-swing control system based on run-to-run control and fuzzy control for overhead crane. In: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp.  1264\u20131270 (2017)","DOI":"10.1109\/FSKD.2017.8392946"},{"key":"883_CR39","doi-asserted-by":"crossref","unstructured":"Liu, J., Zheng, S., Tan, Y.: Analysis on global convergence and time complexity of fireworks algorithm. In: IEEE Congress on Evolutionary Computation (CEC). IEEE, New York, 2014, pp. 3207\u20133213 (2014)","DOI":"10.1109\/CEC.2014.6900652"},{"issue":"1","key":"883_CR40","doi-asserted-by":"publisher","first-page":"119","DOI":"10.32604\/cmc.2019.05274","volume":"61","author":"Z Sun","year":"2019","unstructured":"Sun, Z., Bi, Y., Chen, S., Hu, B., Xiang, F., Ling, Y., et al.: Designing and optimization of fuzzy sliding mode controller for nonlinear systems. Comput. Mater. Continua 61(1), 119\u2013128 (2019)","journal-title":"Comput. Mater. Continua"}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-020-00883-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-020-00883-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-020-00883-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T23:38:59Z","timestamp":1625701139000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-020-00883-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,8]]},"references-count":40,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["883"],"URL":"https:\/\/doi.org\/10.1007\/s40815-020-00883-0","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,8]]},"assertion":[{"value":"3 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 May 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}