{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T12:11:42Z","timestamp":1790338302762,"version":"4.1.0"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T00:00:00Z","timestamp":1509321600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2016\/18792-9"],"award-info":[{"award-number":["2016\/18792-9"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["PQ2-307093\/2014-0"],"award-info":[{"award-number":["PQ2-307093\/2014-0"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002809","name":"Generalitat de Catalunya","doi-asserted-by":"publisher","award":["2014-SGR-118"],"award-info":[{"award-number":["2014-SGR-118"]}],"id":[{"id":"10.13039\/501100002809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003339","name":"Consejo Superior de Investigaciones Cient\u00edficas","doi-asserted-by":"publisher","award":["201550E022"],"award-info":[{"award-number":["201550E022"]}],"id":[{"id":"10.13039\/501100003339","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2016\/21047-3"],"award-info":[{"award-number":["2016\/21047-3"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s10846-017-0731-2","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T08:48:47Z","timestamp":1509353327000},"page":"301-312","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Heuristically Accelerated Reinforcement Learning by Means of Case-Based Reasoning and Transfer Learning"],"prefix":"10.1007","volume":"91","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9097-827X","authenticated-orcid":false,"given":"Reinaldo A. C.","family":"Bianchi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulo E.","family":"Santos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isaac J.","family":"da Silva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr","given":"Luiz A.","family":"Celiberto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramon","family":"Lopez de Mantaras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,10,30]]},"reference":[{"key":"731_CR1","doi-asserted-by":"crossref","unstructured":"Aha, D.W., Molineaux, M., Sukthankar, G.: Case-based reasoning in transfer learning. In: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, ICCBR \u201909, pp. 29\u201344. Springer-Verlag, Berlin (2009)","DOI":"10.1007\/978-3-642-02998-1_4"},{"key":"731_CR2","doi-asserted-by":"crossref","unstructured":"Araujo, E.G., Grupen, R.A.: Learning control composition in a complex environment. In: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pp. 333\u2013342. MIT Press\/Bradford Books (1996)","DOI":"10.7551\/mitpress\/3118.003.0041"},{"issue":"5","key":"731_CR3","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.robot.2008.10.024","volume":"57","author":"BD Argall","year":"2009","unstructured":"Argall, B.D., Chernova, S., Veloso, M., Browning, B.: A survey of robot learning from demonstration. Robot. Auton. Syst. 57(5), 469\u2013483 (2009)","journal-title":"Robot. Auton. Syst."},{"issue":"2","key":"731_CR4","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/S0005-1098(99)00140-5","volume":"36","author":"KJ Astrom","year":"2000","unstructured":"Astrom, K.J., Furuta, K.: Swinging up a pendulum by energy control. Automatica 36(2), 287\u2013295 (2000)","journal-title":"Automatica"},{"key":"731_CR5","unstructured":"Atkeson, C. G., Schaal, S.: Robot learning from demonstration. In: International Conference on Machine Learning, pp. 12\u201320 (1997)"},{"key":"731_CR6","unstructured":"Banerjee, B., Stone, P.: General game learning using knowledge transfer. In: The 20th International Joint Conference on Artificial Intelligence, pp. 672\u2013677 (2007)"},{"key":"731_CR7","unstructured":"Bengio, Y.: Deep learning of representations for unsupervised and transfer learning. In: Guyon, I., Dror, G., Lemaire, V., Taylor, G., Silver, D. (eds.) Proceedings of ICML Workshop on Unsupervised and Transfer Learning, Proceedings of Machine Learning Research, vol. 27, pp. 17\u201336. PMLR, Bellevue, Washington, USA. http:\/\/proceedings.mlr.press\/v27\/bengio12a.html (2012)"},{"key":"731_CR8","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.artint.2015.05.008","volume":"226","author":"R Bianchi","year":"2015","unstructured":"Bianchi, R., Celiberto, L.A., Matsuura, J., Santos, P, de M\u00e1ntaras, R.L.: Transferring knowledge as heuristics in reinforcement learning: a case base approach. Artif. Intell. 226, 102\u2013121 (2015)","journal-title":"Artif. Intell."},{"key":"731_CR9","first-page":"245","volume":"3171","author":"RAC Bianchi","year":"2004","unstructured":"Bianchi, R.A.C., Ribeiro, C.H.C., Costa, A.H.R.: Heuristically Accelerated Q-Learning: a new approach to speed up reinforcement learning. Lect. Notes Artif. Intell. 3171, 245\u2013254 (2004)","journal-title":"Lect. Notes Artif. Intell."},{"issue":"2","key":"731_CR10","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s10732-007-9031-5","volume":"14","author":"RAC Bianchi","year":"2008","unstructured":"Bianchi, R.A.C., Ribeiro, C.H.C., Costa, A.H.R.: Accelerating autonomous learning by using heuristic selection of actions. J. Heuristics 14(2), 135\u2013168 (2008)","journal-title":"J. Heuristics"},{"key":"731_CR11","volume-title":"The Incremental Development of a Synthetic Multi-Agent System: The UvA Trilearn 2001 Robotic Soccer Simulation Team. Master\u2019s Thesis","author":"R Boer de","year":"2002","unstructured":"de Boer, R., Kok, J.: The Incremental Development of a Synthetic Multi-Agent System: The UvA Trilearn 2001 Robotic Soccer Simulation Team. Master\u2019s Thesis. University of Amsterdam, Amsterdam (2002)"},{"key":"731_CR12","unstructured":"Caruana, R.: Learning many related tasks at the same time with backpropagation. In: Advances in Neural Information Processing Systems 7, pp. 657\u2013664. Morgan Kaufmann (1995)"},{"issue":"1","key":"731_CR13","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41\u201375 (1997)","journal-title":"Mach. Learn."},{"key":"731_CR14","doi-asserted-by":"crossref","unstructured":"Celiberto, L.A. Jr, Bianchi, R.A.C., Santos, P.E.: Transfer learning heuristically accelerated algorithm: a case study with real robots. In: 2016 Latin American Robotics Symposium and Intelligent Robotics Meeting, pp. 311\u2013315 (2016)","DOI":"10.1109\/LARS-SBR.2016.59"},{"key":"731_CR15","doi-asserted-by":"crossref","unstructured":"Celiberto, L.A. Jr, Matsuura, J.P., de Mantaras, R.L., Bianchi, R.A.C.: Using transfer learning to speed-up reinforcement learning: A cased-based approach. In: 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting, pp. 55\u201360 (2010)","DOI":"10.1109\/LARS.2010.24"},{"key":"731_CR16","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1613\/jair.904","volume":"16","author":"C Drummond","year":"2002","unstructured":"Drummond, C.: Accelerating reinforcement learning by composing solutions of automatically identified subtasks. J. Artif. Intell. Res. 16, 59\u2013104 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"731_CR17","unstructured":"Du, Y., de la Cruz, G.V., Irwin, J., Taylor, M.E.: Initial progress in transfer for deep reinforcement learning algorithms. In: International Joint Conference on Artificial Intelligence (2016)"},{"key":"731_CR18","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez, F., Veloso, M.: Probabilistic policy reuse in a reinforcement learning agent. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS \u201906, pp. 720\u2013727. ACM, New York, NY, USA (2006)","DOI":"10.1145\/1160633.1160762"},{"issue":"2","key":"731_CR19","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s10489-014-0534-0","volume":"41","author":"LA Ferreira","year":"2014","unstructured":"Ferreira, L.A., Costa Ribeiro, C.H., da Costa Bianchi, R.A.: Heuristically accelerated reinforcement learning modularization for multi-agent multi-objective problems. Appl. Intell. 41(2), 551\u2013562 (2014)","journal-title":"Appl. Intell."},{"key":"731_CR20","doi-asserted-by":"crossref","unstructured":"Glatt, R., da Silva, F.L., Costa, A.H.R.: Towards knowledge transfer in deep reinforcement learning. In: Proceedings of the Brazilian Conference on Intelligent System (BRACIS), pp. 91\u201396 (2016)","DOI":"10.1109\/BRACIS.2016.027"},{"key":"731_CR21","unstructured":"Griffith, S., Subramanian, K., Scholz, J., Isbell, C.L., Thomaz, A.L.: Policy shaping: Integrating human feedback with reinforcement learning. In: Burges, C.J.C., Bottou, L., Ghahramani, Z., Weinberger, K.Q. (eds.) NIPS, pp. 2625\u20132633 (2013)"},{"key":"731_CR22","unstructured":"Gupta, A., Devin, C., Liu, Y., Abbeel, P., Levine, S.: Learning invariant feature spaces to transfer skills with reinforcement learning. In: Proceedings of the Fifth International Conference on Learning Representations. OpenReview, Toulon, France (2017)"},{"key":"731_CR23","unstructured":"Ha, I., Tamura, Y., Asama, H., Han, J., Hong, D.W.: Development of open humanoid platform darwin-op. In: SICE Annual Conference 2011, pp. 2178\u20132181 (2011)"},{"key":"731_CR24","unstructured":"von Hessling, A., Goel, A.K.: Abstracting reusable cases from reinforcement learning. In: Br\u00fcninghaus, S. (ed.) 6th International Conference on Case-Based Reasoning, ICCBR 2005, Chicago, IL, USA, August 23-26, 2005, Workshop Proceedings, pp. 227\u2013236 (2005)"},{"key":"731_CR25","doi-asserted-by":"crossref","unstructured":"Lazaric, A.: Transfer in Reinforcement Learning: A Framework and a Survey, pp. 143\u2013173. Springer Berlin Heidelberg, Berlin (2012)","DOI":"10.1007\/978-3-642-27645-3_5"},{"key":"731_CR26","first-page":"1","volume":"44","author":"C Lemke","year":"2013","unstructured":"Lemke, C., Budka, M., Gabrys, B.: Metalearning: a survey of trends and technologies. Artif. Intell. Rev. 44, 1\u201314 (2013)","journal-title":"Artif. Intell. Rev."},{"issue":"C","key":"731_CR27","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.01.010","volume":"80","author":"J Lu","year":"2015","unstructured":"Lu, J., Behbood, V., Hao, P., Zuo, H., Xue, S., Zhang, G.: Transfer learning using computational intelligence. Know.-Based Syst. 80(C), 14\u201323 (2015). https:\/\/doi.org\/10.1016\/j.knosys.2015.01.010","journal-title":"Know.-Based Syst."},{"issue":"3","key":"731_CR28","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1017\/S0269888906000646","volume":"20","author":"RL M\u00e1ntaras de","year":"2005","unstructured":"de M\u00e1ntaras, R.L., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M.L., Cox, M.T., Forbus, K., Keane, M., Aamodt, A., Watson, I.: Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev 20(3), 215\u2013240 (2005)","journal-title":"Knowl. Eng. Rev"},{"key":"731_CR29","doi-asserted-by":"crossref","unstructured":"Nichols, B. D.: Continuous action-space reinforcement learning methods applied to the minimum-time swing-up of the acrobot. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2084\u20132089 (2015)","DOI":"10.1109\/SMC.2015.364"},{"key":"731_CR30","unstructured":"Niculescu-Mizil, A., Caruana: Inductive transfer for Bayesian network structure learning. In: Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011, pp. 167\u2013180 (2012)"},{"key":"731_CR31","unstructured":"Noda, I.: Soccer server: a simulator of robocup. In: Proceedings of AI Symposium of the Japanese Society for Artificial Intelligence, pp. 29\u201334 (1995)"},{"issue":"10","key":"731_CR32","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010). https:\/\/doi.org\/10.1109\/TKDE.2009.191","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"731_CR33","unstructured":"Parisotto, E., Ba, L.J., Salakhutdinov, R.: Actor-mimic: Deep multitask and transfer reinforcement learning. arXiv: 1511.06342 (2015)"},{"key":"731_CR34","doi-asserted-by":"crossref","unstructured":"Patricia, N., Caputo, B.: Learning to learn, from transfer learning to domain adaptation: A unifying perspective. In: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR \u201914, pp. 1442\u20131449. IEEE Computer Society, Washington, DC, USA (2014)","DOI":"10.1109\/CVPR.2014.187"},{"key":"731_CR35","doi-asserted-by":"crossref","unstructured":"Perico, D.H., Silva, I.J., Vil\u00e3o Junior, C.O., Homem, T.P.D., Destro, R.C., Tonidandel, F., Bianchi, R.A.C.: Newton: A high level control humanoid robot for the robocup soccer kidsize league. In: Os\u00f3rio, F.S., Wolf, D.F., Castelo Branco, K., Grassi, V. Jr., Becker, M., Romero, R.A.F. (eds.) Robotics: Joint Conference on Robotics, LARS 2014, SBR 2014, Robocontrol 2014, S\u00e3o Carlos, Brazil, October 18-23, 2014. Revised Selected Papers, pp. 53\u201373. Springer Berlin Heidelberg, Berlin (2015)","DOI":"10.1007\/978-3-662-48134-9_4"},{"key":"731_CR36","doi-asserted-by":"crossref","unstructured":"Rubenstein, M., Ahler, C., Nagpal, R.: Kilobot: A low cost scalable robot system for collective behaviors. In: 2012 IEEE International Conference on Robotics and Automation, pp. 3293\u20133298 (2012)","DOI":"10.1109\/ICRA.2012.6224638"},{"issue":"1","key":"731_CR37","first-page":"123","volume":"22","author":"SP Singh","year":"1996","unstructured":"Singh, S.P., Sutton, R.S.: Reinforcement learning with replacing eligibility traces. Mach. Learn. 22(1), 123\u2013158 (1996)","journal-title":"Mach. Learn."},{"key":"731_CR38","volume-title":"Statistics","author":"MR Spiegel","year":"1998","unstructured":"Spiegel, M.R.: Statistics. McGraw-Hill, New York (1998)"},{"issue":"1","key":"731_CR39","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/37.341864","volume":"15","author":"MW Spong","year":"1995","unstructured":"Spong, M.W.: The swing up control problem for the Acrobot. IEEE Control Syst. 15(1), 49\u201355 (1995)","journal-title":"IEEE Control Syst."},{"issue":"1","key":"731_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/biomet\/6.1.1","volume":"6","author":"Student","year":"1908","unstructured":"Student: The probable error of a mean. Biometrika 6(1), 1\u201325 (1908)","journal-title":"Biometrika"},{"issue":"1","key":"731_CR41","first-page":"9","volume":"3","author":"RS Sutton","year":"1988","unstructured":"Sutton, R.S.: Learning to predict by the methods of temporal differences. Machine Learning 3(1), 9\u201344 (1988)","journal-title":"Machine Learning"},{"key":"731_CR42","first-page":"1038","volume":"8","author":"RS Suttom","year":"1996","unstructured":"Suttom, R.S.: Generalization in reinforcement learning: Successful examples using sparse coarse coding. Adv. Neural Inf. Proces. Syst. 8, 1038\u20131044 (1996)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"731_CR43","volume-title":"Reinforcement Learning: An Introduction","author":"RS Sutton","year":"1998","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)"},{"key":"731_CR44","doi-asserted-by":"crossref","unstructured":"Tan, B., Song, Y., Zhong, E., Yang, Q.: Transitive transfer learning. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201915, pp. 1155\u20131164. ACM, New York, NY, USA (2015)","DOI":"10.1145\/2783258.2783295"},{"key":"731_CR45","unstructured":"Taylor, M.E.: Autonomous Inter-task Transfer in Reinforcement Learning Domains. Ph.D. Thesis, Department of Computer Sciences, The University of Texas at Austin (2008)"},{"issue":"1","key":"731_CR46","first-page":"1633","volume":"10","author":"ME Taylor","year":"2009","unstructured":"Taylor, M.E., Stone, P.: Transfer learning for reinforcement learning domains: A survey. J. Mach. Learn. Res. 10(1), 1633\u20131685 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"731_CR47","doi-asserted-by":"crossref","unstructured":"Taylor, M.E., Stone, P., Jong, N.K.: Transferring instances for model-based reinforcement learning. In: Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Artificial Intelligence, vol. 5212, pp. 488\u2013505 (2008)","DOI":"10.1007\/978-3-540-87481-2_32"},{"key":"731_CR48","unstructured":"Tharin, J.: Kilobot User Manual. K-Team (2010)"},{"key":"731_CR49","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1037\/h0074898","volume":"8","author":"EL Thorndike","year":"1901","unstructured":"Thorndike, E.L., Woodworth, R.S.: The influence of improvement in one mental function upon the efficiency of other functions. Psychol. Rev. 8, 247\u2013261 (1901)","journal-title":"Psychol. Rev."},{"key":"731_CR50","unstructured":"Thrun, S., Mitchell, T.M.: Learning one more thing. In: IJCAI\u201995: Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 1217\u20131223. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1995)"},{"key":"731_CR51","volume-title":"Learning from Delayed rewards. Ph.D. Thesis","author":"CJCH Watkins","year":"1989","unstructured":"Watkins, C.J.C.H.: Learning from Delayed rewards. Ph.D. Thesis. University of Cambridge, Cambridge (1989)"},{"issue":"1","key":"731_CR52","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss, K., Khoshgoftaar, T.M., Wang, D.: A survey of transfer learning. J. Big Data 3(1), 9 (2016)","journal-title":"J. Big Data"},{"issue":"1","key":"731_CR53","first-page":"28","volume":"34","author":"BL Welch","year":"1947","unstructured":"Welch, B. L.: The generalization of \u201cStudent\u2019s\u201d problem when several different population variances are involved. Biometrika 34(1), 28\u201335 (1947)","journal-title":"Biometrika"},{"key":"731_CR54","volume-title":"Combining case-based reasoning and reinforcement learning for tactical unit selection in real-time strategy game AI, pp. 413\u2013429","author":"S Wender","year":"2016","unstructured":"Wender, S., Watson, I.: Combining case-based reasoning and reinforcement learning for tactical unit selection in real-time strategy game AI, pp. 413\u2013429. Springer International Publishing, Berlin (2016)"},{"key":"731_CR55","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yu, T., Yang, B., Cheng, L.: Accelerating bio-inspired optimizer with transfer reinforcement learning for reactive power optimization. Knowledge-Based Systems pp. \u2013 (2016)","DOI":"10.1016\/j.knosys.2016.10.024"},{"issue":"99","key":"731_CR56","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TSG.2016.2607801","volume":"PP","author":"XS Zhang","year":"2016","unstructured":"Zhang, X.S., Li, Q., YU, T., Yang, B.: Consensus transfer q-learning for decentralized generation command dispatch based on virtual generation tribe. IEEE Trans. Smart Grid PP(99), 1\u20131 (2016). https:\/\/doi.org\/10.1109\/TSG.2016.2607801","journal-title":"IEEE Trans. Smart Grid"},{"issue":"1","key":"731_CR57","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.automatica.2012.10.007","volume":"49","author":"A Zhang","year":"2012","unstructured":"Zhang, A., She, J., Lai, X., Wu, M.: Motion planning and tracking control for an acrobot based on a rewinding approach. Automatica 49(1), 278\u2013284 (2012)","journal-title":"Automatica"}],"container-title":["Journal of Intelligent &amp; Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10846-017-0731-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-017-0731-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-017-0731-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T19:57:53Z","timestamp":1750967873000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10846-017-0731-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,30]]},"references-count":57,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["731"],"URL":"https:\/\/doi.org\/10.1007\/s10846-017-0731-2","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,30]]},"assertion":[{"value":"19 December 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}