{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:09:28Z","timestamp":1757617768282,"version":"3.44.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031817236"},{"type":"electronic","value":"9783031817243"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-81724-3_61","type":"book-chapter","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T02:32:21Z","timestamp":1745289141000},"page":"684-693","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimisation and\u00a0Control in\u00a0Airborne Wind Energy: A Bibliometric Study"],"prefix":"10.1007","author":[{"given":"Lu\u00eds Tiago","family":"Paiva","sequence":"first","affiliation":[]},{"given":"Alzira","family":"Mota","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds\u00a0A.C.","family":"Roque","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"key":"61_CR1","doi-asserted-by":"crossref","unstructured":"Cherubini, A., Papini, A., Vertechy, R., Fontana, M.: Airborne wind energy systems: a review of the technologies. Renew. Sustain. Energy Rev. 51, 1461\u20131476 (2015). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1364032115007005","DOI":"10.1016\/j.rser.2015.07.053"},{"key":"61_CR2","doi-asserted-by":"crossref","unstructured":"Samson, J., Katebi, R., Vermillion, C.: A critical assessment of airborne wind energy systems. In: 2nd IET Renewable Power Generation Conference (RPG 2013), pp. 1\u20134. Beijing (2013)","DOI":"10.1049\/cp.2013.1852"},{"key":"61_CR3","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez-Arriaga, G., Pastor-Rodr\u00edguez, A., Borobia-Moreno, R., Schmehl, R.: A constraint-free flight simulator package for airborne wind energy systems. J. Phys.: Conf. Ser. 1037(6), 062018(2018). https:\/\/dx.doi.org\/10.1088\/1742-6596\/1037\/6\/062018","DOI":"10.1088\/1742-6596\/1037\/6\/062018"},{"key":"61_CR4","doi-asserted-by":"crossref","unstructured":"Faggiani, P., Schmehl, R.: Design and economics of a pumping kite wind park 04, 391\u2013411 (2018)","DOI":"10.1007\/978-981-10-1947-0_16"},{"key":"61_CR5","doi-asserted-by":"crossref","unstructured":"Roque, L.A., Paiva, L.T., Fernandes, M.C., Fontes, D.B., Fontes, F.A.: Layout optimization of an airborne wind energy farm for maximum power generation. In: 2020 the 6th International Conference on Energy and Environment Research - Energy and environment: challenges towards circular economy, Energy Reports, vol.\u00a06, pp. 165\u2013171 (2020). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352484719306845","DOI":"10.1016\/j.egyr.2019.08.037"},{"key":"61_CR6","doi-asserted-by":"crossref","unstructured":"Buffoni, M., Galletti, B., Ferreau, J., Fagiano, L., Mercangoez, M.: Active pitch control of tethered wings for airborne wind energy. In: 53rd IEEE Conference on Decision and Control, pp. 4893\u20134898 (2014)","DOI":"10.1109\/CDC.2014.7040153"},{"key":"61_CR7","doi-asserted-by":"crossref","unstructured":"Baheri, A., Bin-Karim, S., Bafandeh, A., Vermillion, C.: Real-time control using Bayesian optimization: a case study in airborne wind energy systems. Control Eng. Pract. 69, 131\u2013140 (2017). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0967066117302101","DOI":"10.1016\/j.conengprac.2017.09.007"},{"key":"61_CR8","doi-asserted-by":"crossref","unstructured":"Bafandeh, A., Bin-Karim, S., Vermillion, C.: Fused local-global control of spatiotemporally-varying systems: a case study in airborne wind energy. In: 2017 IEEE Conference on Control Technology and Applications (CCTA), pp. 505\u2013510 (2017)","DOI":"10.1109\/CCTA.2017.8062512"},{"key":"61_CR9","doi-asserted-by":"publisher","unstructured":"Deese, J., Vermillion, C.: Nested Plant\/Controller codesign using G-optimal design and continuous time adaptation laws: theoretical framework and application to an airborne wind energy system. J. Dyn. Syst., Measur. Control 140(12), 121013 (2018). https:\/\/doi.org\/10.1115\/1.4040759","DOI":"10.1115\/1.4040759"},{"key":"61_CR10","doi-asserted-by":"crossref","unstructured":"Malz, E., Verendel, V., Gros, S.: Computing the power profiles for an airborne wind energy system based on large-scale wind data. Renew. Energy 162, 766\u2013778 (2020). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960148120309666","DOI":"10.1016\/j.renene.2020.06.056"},{"issue":"4","key":"61_CR11","doi-asserted-by":"publisher","first-page":"1823","DOI":"10.1109\/TCST.2020.3014159","volume":"29","author":"J Deese","year":"2021","unstructured":"Deese, J., Vermillion, C.: Recursive gaussian process-based adaptive control, with application to a lighter-than-air wind energy system. IEEE Trans. Control Syst. Technol. 29(4), 1823\u20131830 (2021)","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"61_CR12","doi-asserted-by":"crossref","unstructured":"Saberi, S., Rezaie, B.: Robust adaptive direct speed control of PMSG-based airborne wind energy system using FCS-MPC method. ISA Trans. 131, 43\u201360 (2022). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0019057822001987","DOI":"10.1016\/j.isatra.2022.04.035"},{"key":"61_CR13","doi-asserted-by":"publisher","unstructured":"Orzan, N., Leone, C., Mazzolini, A., Oyero, J., Celani, A.: Optimizing airborne wind energy with reinforcement learning. Eur. Phys. J. E 46(1), 2 (2023). https:\/\/doi.org\/10.1140\/epje\/s10189-022-00259-2","DOI":"10.1140\/epje\/s10189-022-00259-2"},{"key":"61_CR14","unstructured":"Mota, A., Roque, L.A., Paiva, L.T.: Bibliometric analysis of emergent airborne wind energy systems. In: 12th European Conference On Renewable Energy Systems (2024)"},{"key":"61_CR15","doi-asserted-by":"crossref","unstructured":"Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., Lim, W.M.: How to conduct a bibliometric analysis: an overview and guidelines. J. Bus. Res. 133(C), 285\u2013296 (2021). https:\/\/ideas.repec.org\/a\/eee\/jbrese\/v133y2021icp285-296.html","DOI":"10.1016\/j.jbusres.2021.04.070"},{"key":"61_CR16","doi-asserted-by":"crossref","unstructured":"Mej\u00eda, C., Wu, M., Zhang, Y., Kajikawa, Y.: Exploring topics in bibliometric research through citation networks and semantic analysis. Front. Res. Metrics Anal. 6, 742311 (2021)","DOI":"10.3389\/frma.2021.742311"}],"container-title":["Lecture Notes in Electrical Engineering","CONTROLO 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-81724-3_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T12:02:21Z","timestamp":1757160141000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-81724-3_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031817236","9783031817243"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-81724-3_61","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"23 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CONTROLO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"APCA International Conference on Automatic Control and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"controlo2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/controlo2024.pt","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}