{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T15:12:56Z","timestamp":1772809976109,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819980789","type":"print"},{"value":"9789819980796","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T00:00:00Z","timestamp":1699920000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T00:00:00Z","timestamp":1699920000000},"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":[[2024]]},"DOI":"10.1007\/978-981-99-8079-6_39","type":"book-chapter","created":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T16:02:42Z","timestamp":1699891362000},"page":"504-515","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predefined-Time Event-Triggered Consensus for\u00a0Nonlinear Multi-Agent Systems with\u00a0Uncertain Parameter"],"prefix":"10.1007","author":[{"given":"Yafei","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3205-3820","authenticated-orcid":false,"given":"Hui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aidi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingwen","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sijie","family":"Niu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xizhan","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiju","family":"Zong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,14]]},"reference":[{"key":"39_CR1","doi-asserted-by":"publisher","first-page":"49000","DOI":"10.1109\/ACCESS.2020.2979996","volume":"8","author":"Y Wang","year":"2020","unstructured":"Wang, Y., Cheng, Z., Xiao, M.: UAVs\u2019 formation keeping control based on multi-agent system consensus. IEEE Access 8, 49000\u201349012 (2020)","journal-title":"IEEE Access"},{"key":"39_CR2","doi-asserted-by":"publisher","first-page":"104940","DOI":"10.1109\/ACCESS.2021.3098303","volume":"9","author":"T Vazquez","year":"2021","unstructured":"Vazquez, T.: Robust formation control based on leader-following consensus in multi-agent systems with faults in the information exchange: application in a fleet of unmanned aerial vehicles. IEEE Access 9, 104940\u2013104949 (2021)","journal-title":"IEEE Access"},{"issue":"5","key":"39_CR3","doi-asserted-by":"publisher","first-page":"3897","DOI":"10.1007\/s10462-021-10097-x","volume":"55","author":"A Amirkhani","year":"2022","unstructured":"Amirkhani, A., Barshooi, A.H.: Consensus in multi-agent systems: a review. Artif. Intell. Rev. 55(5), 3897\u20133935 (2022)","journal-title":"Artif. Intell. Rev."},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Li, Z., Duan, Z., Huang, L.: Leader-follower consensus of multi-agent systems. In: American Control Conference, pp. 3256\u20133261. IEEE (2009)","DOI":"10.1109\/ACC.2009.5160000"},{"issue":"2","key":"39_CR5","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1109\/TNNLS.2020.2978898","volume":"32","author":"G Dong","year":"2021","unstructured":"Dong, G., Li, H., Ma, H., et al.: Finite-time consensus tracking neural network FTC of multi-agent systems. IEEE Trans. Neural Netw. Learn. Syst. 32(2), 653\u2013662 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"10","key":"39_CR6","first-page":"2029","volume":"67","author":"X Bu","year":"2020","unstructured":"Bu, X., Zhu, P., Hou, Z., Liang, J.: Finite-Time consensus for linear multi-agent systems using data-driven terminal ILC. IEEE Trans. Circuits Syst. II Express Briefs 67(10), 2029\u20132033 (2020)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"issue":"9","key":"39_CR7","first-page":"1587","volume":"66","author":"H Wang","year":"2018","unstructured":"Wang, H., Yu, W., Wen, G., et al.: Fixed-time consensus of nonlinear multi-agent systems with general directed topologies. IEEE Trans. Circuits Syst. II Express Briefs 66(9), 1587\u20131591 (2018)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"issue":"2","key":"39_CR8","first-page":"247","volume":"66","author":"X Wei","year":"2019","unstructured":"Wei, X., Yu, W., Wang, H., Yao, Y., Mei, F.: An observer-based fixed-time consensus control for second-order multi-agent systems with disturbances. IEEE Trans. Circuits Syst. II Express Briefs 66(2), 247\u2013251 (2019)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"key":"39_CR9","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Wang, Z., Liang, H., et al.: Neural-network-based predefined-time adaptive consensus in nonlinear multi-agent systems with switching topologies. In: IEEE Transactions on Neural Networks and Learning Systems, pp. 1\u201311 (2023)","DOI":"10.1109\/TNNLS.2023.3238336"},{"issue":"7","key":"39_CR10","doi-asserted-by":"publisher","first-page":"3069","DOI":"10.1109\/TCSI.2021.3071974","volume":"68","author":"K Li","year":"2021","unstructured":"Li, K., Hua, C.: Output feedback predefined-time bipartite consensus control for high-order nonlinear multiagent systems. IEEE Trans. Circuits Syst. I Regul. Pap. 68(7), 3069\u20133078 (2021)","journal-title":"IEEE Trans. Circuits Syst. I Regul. Pap."},{"issue":"10","key":"39_CR11","doi-asserted-by":"publisher","first-page":"4423","DOI":"10.1109\/TFUZZ.2022.3152834","volume":"30","author":"CD Liang","year":"2022","unstructured":"Liang, C.D., Ge, M.F., Liu, Z.W., et al.: Predefined-time stabilization of t-s fuzzy systems: a novel integral sliding mode-based approach. IEEE Trans. Fuzzy Syst. 30(10), 4423\u20134433 (2022)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"4","key":"39_CR12","doi-asserted-by":"publisher","first-page":"2550","DOI":"10.1109\/TSMC.2019.2916257","volume":"51","author":"J Ni","year":"2021","unstructured":"Ni, J., Liu, L., Liu, C.: Predefined-time consensus tracking of second-order multiagent systems. IEEE Trans. Syst. Man Cybern. Syst. 51(4), 2550\u20132560 (2021)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"39_CR13","doi-asserted-by":"publisher","first-page":"108848","DOI":"10.1109\/ACCESS.2022.3212932","volume":"10","author":"Z Wang","year":"2022","unstructured":"Wang, Z., Ma, J.: Distributed predefined-time attitude consensus control for multiple uncertain spacecraft formation flying. IEEE Access 10, 108848\u2013108858 (2022)","journal-title":"IEEE Access"},{"issue":"8","key":"39_CR14","doi-asserted-by":"publisher","first-page":"3300","DOI":"10.1109\/TAC.2018.2874703","volume":"64","author":"X Yi","year":"2018","unstructured":"Yi, X., Liu, K., Dimarogonas, D.V., et al.: Dynamic event-triggered and self-triggered control for multi-agent systems. IEEE Trans. Autom. Control. 64(8), 3300\u20133307 (2018)","journal-title":"IEEE Trans. Autom. Control."},{"issue":"2","key":"39_CR15","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1109\/TCYB.2018.2868778","volume":"50","author":"W Hu","year":"2018","unstructured":"Hu, W., Yang, C., Huang, T., et al.: A distributed dynamic event-triggered control approach to consensus of linear multi-agent systems with directed networks. IEEE Trans. Cybern. 50(2), 869\u2013874 (2018)","journal-title":"IEEE Trans. Cybern."},{"issue":"5","key":"39_CR16","doi-asserted-by":"publisher","first-page":"1952","DOI":"10.1109\/TCYB.2019.2903817","volume":"50","author":"S Hu","year":"2022","unstructured":"Hu, S., Yue, D., Chen, X., Dou, C.: Observer-based event-triggered control for networked linear systems subject to denial-of-service attacks. IEEE Trans. Cybern. 50(5), 1952\u20131964 (2022)","journal-title":"IEEE Trans. Cybern."},{"issue":"12","key":"39_CR17","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1049\/iet-cta.2013.0648","volume":"8","author":"X Lin","year":"2014","unstructured":"Lin, X., Li, S., Zou, Y.: Finite-time stability of switched linear systems with subsystems which are not finite-time stable. IET Control Theory App. 8(12), 1137\u20131146 (2014)","journal-title":"IET Control Theory App."},{"issue":"8","key":"39_CR18","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.1109\/TAC.2011.2179869","volume":"57","author":"A Polyakov","year":"2012","unstructured":"Polyakov, A.: Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans. Autom. Control 57(8), 2106\u20132110 (2012)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"18","key":"39_CR19","doi-asserted-by":"publisher","first-page":"10072","DOI":"10.1002\/rnc.6356","volume":"32","author":"C Chen","year":"2022","unstructured":"Chen, C., Mi, L., Zhao, D., et al.: A new judgment theorem for predefined-time stability and its application in the synchronization analysis of neural networks. Int. J. Robust Nonlinear Control 32(18), 10072\u201310086 (2022)","journal-title":"Int. J. Robust Nonlinear Control"},{"issue":"9","key":"39_CR20","doi-asserted-by":"publisher","first-page":"1520","DOI":"10.1109\/TAC.2004.834113","volume":"49","author":"R Olfati-Saber","year":"2004","unstructured":"Olfati-Saber, R., Murray, R.M.: Consensus problems in networks of agents with switching topology and time-delays. IEEE Trans. Autom. Control 49(9), 1520\u20131533 (2004)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"12","key":"39_CR21","doi-asserted-by":"publisher","first-page":"4135","DOI":"10.1002\/rnc.4600","volume":"29","author":"R Aldana-L\u00f3pez","year":"2019","unstructured":"Aldana-L\u00f3pez, R., G\u00f3mez-Guti\u00e9rrez, D., Jim\u00e9nez-Rodr\u00edguez, E., et al.: Enhancing the settling time estimation of a class of fixed-time stable systems. Int. J. Robust Nonlinear Control 29(12), 4135\u20134148 (2019)","journal-title":"Int. J. Robust Nonlinear Control"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8079-6_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:36:43Z","timestamp":1710261403000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8079-6_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,14]]},"ISBN":["9789819980789","9789819980796"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8079-6_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,14]]},"assertion":[{"value":"14 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1274","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"650","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.14","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.46","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}