{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T20:25:18Z","timestamp":1765052718554,"version":"3.46.0"},"publisher-location":"Singapore","reference-count":30,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819607709"},{"type":"electronic","value":"9789819607716"}],"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\/978-981-96-0771-6_1","type":"book-chapter","created":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T02:16:46Z","timestamp":1737598606000},"page":"3-16","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Online Performance Assessment of\u00a0UAV Formations via\u00a0the\u00a0Belief Rule Base with\u00a0Asynchronous Sequential Inputs"],"prefix":"10.1007","author":[{"given":"Jiayue","family":"Fang","sequence":"first","affiliation":[]},{"given":"Haoran","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ruohan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Shuo","family":"Miao","sequence":"additional","affiliation":[]},{"given":"Zhichao","family":"Feng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,24]]},"reference":[{"issue":"11","key":"1_CR1","doi-asserted-by":"publisher","first-page":"3489","DOI":"10.1109\/tfuzz.2020.3024024","volume":"29","author":"Y Cao","year":"2021","unstructured":"Cao, Y., Zhou, Z., Hu, C., He, W., Tang, S.: On the interpretability of belief rule-based expert systems. IEEE Trans. Fuzzy Syst. 29(11), 3489\u20133503 (2021). https:\/\/doi.org\/10.1109\/tfuzz.2020.3024024","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"1_CR2","doi-asserted-by":"publisher","unstructured":"Cao, Y., Zhou, Z., Hu, C., Tang, S., Wang, J.: A new approximate belief rule base expert system for complex system modelling. Decis. Support Syst. 150, 113558 (2021). https:\/\/doi.org\/10.1016\/j.dss.2021.113558","DOI":"10.1016\/j.dss.2021.113558"},{"issue":"10","key":"1_CR3","doi-asserted-by":"publisher","first-page":"6043","DOI":"10.1109\/tsmc.2023.3279286","volume":"53","author":"Y Cao","year":"2023","unstructured":"Cao, Y., Zhou, Z., Tang, S., Ning, P., Chen, M.: On the robustness of belief-rule-based expert systems. IEEE Trans. Syst. Man Cybern. Syst. 53(10), 6043\u20136055 (2023). https:\/\/doi.org\/10.1109\/tsmc.2023.3279286","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"1_CR4","doi-asserted-by":"publisher","unstructured":"Dai, Q., Liu, J., Yang, J.: SWSEL: sliding window-based selective ensemble learning for class-imbalance problems. Eng. Appl. Artif. Intell. 121, 105959 (2023). https:\/\/doi.org\/10.1016\/j.engappai.2023.105959","DOI":"10.1016\/j.engappai.2023.105959"},{"issue":"6","key":"1_CR5","doi-asserted-by":"publisher","first-page":"2575","DOI":"10.1109\/tcst.2021.3049715","volume":"29","author":"R D\u2019Souza","year":"2021","unstructured":"D\u2019Souza, R., Louwers, R., Nielsen, C.: Piecewise linear path following for a unicycle using transverse feedback linearization. IEEE Trans. Control Syst. Technol. 29(6), 2575\u20132585 (2021). https:\/\/doi.org\/10.1109\/tcst.2021.3049715","journal-title":"IEEE Trans. Control Syst. Technol."},{"key":"1_CR6","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.isatra.2023.12.036","volume":"146","author":"Z Du","year":"2024","unstructured":"Du, Z., Qu, X., Shi, J., Lu, J.: Formation control of fixed-wing UAVs with communication delay. ISA Trans. 146, 154\u2013164 (2024). https:\/\/doi.org\/10.1016\/j.isatra.2023.12.036","journal-title":"ISA Trans."},{"issue":"4","key":"1_CR7","doi-asserted-by":"publisher","first-page":"4542","DOI":"10.1109\/tnnls.2023.3285874","volume":"35","author":"M Eliasof","year":"2024","unstructured":"Eliasof, M., Bodner, B., Treister, E.: Haar wavelet feature compression for quantized graph convolutional networks. IEEE Trans. Neural Netw. Learn. Syst. 35(4), 4542\u20134553 (2024). https:\/\/doi.org\/10.1109\/tnnls.2023.3285874","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"11","key":"1_CR8","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1109\/jas.2020.1003399","volume":"8","author":"Z Feng","year":"2021","unstructured":"Feng, Z., He, W., Zhou, Z., Ban, X., Hu, C., Han, X.: A new safety assessment method based on belief rule base with attribute reliability. IEEE\/CAA J. Automatica Sinica 8(11), 1774\u20131785 (2021). https:\/\/doi.org\/10.1109\/jas.2020.1003399","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"key":"1_CR9","doi-asserted-by":"publisher","unstructured":"Feng, Z., Yang, R., Zhou, Z., Hu, C.: Trustworthy fault diagnosis method based on belief rule base with multi-source uncertain information for vehicle. IEEE Trans. Ind. Electron. 1\u201310 (2023). https:\/\/doi.org\/10.1109\/tie.2023.3277095","DOI":"10.1109\/tie.2023.3277095"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Feng, Z., Zhou, Z., Hu, C., Ban, X., Hu, G.: A safety assessment model based on belief rule base with new optimization method. Reliab. Eng. Syst. Safety 203, 107055 (2020). https:\/\/doi.org\/10.1016\/j.ress.2020.107055","DOI":"10.1016\/j.ress.2020.107055"},{"issue":"3","key":"1_CR11","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1016\/j.dt.2021.01.005","volume":"18","author":"S Li","year":"2022","unstructured":"Li, S., Chen, M., Wang, Y., Wu, Q.: Air combat decision-making of multiple UCAVs based on constraint strategy games. Defence Technol. 18(3), 368\u2013383 (2022). https:\/\/doi.org\/10.1016\/j.dt.2021.01.005","journal-title":"Defence Technol."},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Li, X.: Positive-incentive noise. IEEE Trans. Neural Netw. Learn. Syst. 1\u20137 (2022). https:\/\/doi.org\/10.1109\/tnnls.2022.3224577","DOI":"10.1109\/tnnls.2022.3224577"},{"issue":"2","key":"1_CR13","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1109\/jas.2023.123732","volume":"11","author":"Z Luo","year":"2024","unstructured":"Luo, Z., Zhu, B., Zheng, J., Zheng, Z.: Robust distributed model predictive control for formation tracking of nonholonomic vehicles. IEEE\/CAA J. Automatica Sinica 11(2), 560\u2013562 (2024). https:\/\/doi.org\/10.1109\/jas.2023.123732","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"issue":"7","key":"1_CR14","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"S Mallat","year":"1989","unstructured":"Mallat, S.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11(7), 674\u2013693 (1989). https:\/\/doi.org\/10.1109\/34.192463","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1_CR15","doi-asserted-by":"publisher","unstructured":"Nadimi-Shahraki, M., Taghian, S., Mirjalili, S.: An improved grey wolf optimizer for solving engineering problems. Expert Syst. Appl. 166, 113917 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2020.113917","DOI":"10.1016\/j.eswa.2020.113917"},{"issue":"6","key":"1_CR16","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1109\/tai.2022.3222143","volume":"4","author":"A Pope","year":"2023","unstructured":"Pope, A., et al.: Hierarchical reinforcement learning for air combat at darpa\u2019s alphadogfight trials. IEEE Trans. Artif. Intell. 4(6), 1371\u20131385 (2023). https:\/\/doi.org\/10.1109\/tai.2022.3222143","journal-title":"IEEE Trans. Artif. Intell."},{"key":"1_CR17","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.isatra.2017.06.016","volume":"71","author":"H Qiu","year":"2017","unstructured":"Qiu, H., Duan, H.: Pigeon interaction mode switch-based UAV distributed flocking control under obstacle environments. ISA Trans. 71, 93\u2013102 (2017). https:\/\/doi.org\/10.1016\/j.isatra.2017.06.016","journal-title":"ISA Trans."},{"issue":"2","key":"1_CR18","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1049\/iet-cta:20050401","volume":"1","author":"W Ren","year":"2007","unstructured":"Ren, W.: Consensus strategies for cooperative control of vehicle formations. IET Control Theory Appl. 1(2), 505\u2013512 (2007). https:\/\/doi.org\/10.1049\/iet-cta:20050401","journal-title":"IET Control Theory Appl."},{"issue":"10","key":"1_CR19","doi-asserted-by":"publisher","first-page":"2464","DOI":"10.1109\/78.157290","volume":"40","author":"M Shensa","year":"1992","unstructured":"Shensa, M.: The discrete wavelet transform: wedding the a trous and mallat algorithms. IEEE Trans. Signal Process. 40(10), 2464\u20132482 (1992). https:\/\/doi.org\/10.1109\/78.157290","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"1_CR20","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1109\/78.193197","volume":"41","author":"J Tugnait","year":"1993","unstructured":"Tugnait, J.: Time delay estimation with unknown spatially correlated Gaussian noise. IEEE Trans. Signal Process. 41(2), 549\u2013558 (1993). https:\/\/doi.org\/10.1109\/78.193197","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"1_CR21","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/tsmca.2005.851270","volume":"36","author":"J Yang","year":"2006","unstructured":"Yang, J., Liu, J., Wang, J., Sii, H., Wang, H.: Belief rule-base inference methodology using the evidential reasoning approach-rimer. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 36(2), 266\u2013285 (2006). https:\/\/doi.org\/10.1109\/tsmca.2005.851270","journal-title":"IEEE Trans. Syst. Man Cybern. Part A Syst. Hum."},{"issue":"4","key":"1_CR22","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1109\/tsmca.2007.897606","volume":"37","author":"J Yang","year":"2007","unstructured":"Yang, J., Liu, J., Xu, D., Wang, J., Wang, H.: Optimization models for training belief-rule-based systems. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 37(4), 569\u2013585 (2007). https:\/\/doi.org\/10.1109\/tsmca.2007.897606","journal-title":"IEEE Trans. Syst. Man Cybern. Part A Syst. Hum."},{"key":"1_CR23","doi-asserted-by":"publisher","unstructured":"Yu, D., Li, J., Wang, Z., Li, X.: An overview of swarm coordinated control. IEEE Trans. Artif. Intell. 1\u201322 (2023). https:\/\/doi.org\/10.1109\/tai.2023.3314581","DOI":"10.1109\/tai.2023.3314581"},{"key":"1_CR24","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/s10846-023-01990-4","volume":"109","author":"H Zhang","year":"2023","unstructured":"Zhang, H., He, W., Yang, R., Feng, Z.: Performance assessment for leader-following multi-agent systems with unpredictable disturbances and switching topologies via belief rule base. J. Intell. Robot. Syst. 109, 62 (2023). https:\/\/doi.org\/10.1007\/s10846-023-01990-4","journal-title":"J. Intell. Robot. Syst."},{"key":"1_CR25","doi-asserted-by":"publisher","unstructured":"Zhang, H., Yang, R., He, W.: Efficacy assessment for multi-vehicle formations based on data augmentation considering reliability. Adv. Eng. Inform. 61, 102504 (2024). https:\/\/doi.org\/10.1016\/j.aei.2024.102504","DOI":"10.1016\/j.aei.2024.102504"},{"key":"1_CR26","doi-asserted-by":"publisher","unstructured":"Zhang, H., Zhang, G., Yang, R., Feng, Z., He, W.: Resilient formation reconfiguration for leader-follower multi-UAVs. Appl. Sci. 13(13) (2023). https:\/\/doi.org\/10.3390\/app13137385","DOI":"10.3390\/app13137385"},{"issue":"4","key":"1_CR27","doi-asserted-by":"publisher","first-page":"3750","DOI":"10.1109\/taes.2022.3231244","volume":"59","author":"J Zhang","year":"2023","unstructured":"Zhang, J., Cui, Y., Ren, J.: Dynamic mission planning algorithm for UAV formation in battlefield environment. IEEE Trans. Aerosp. Electron. Syst. 59(4), 3750\u20133765 (2023). https:\/\/doi.org\/10.1109\/taes.2022.3231244","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"3","key":"1_CR28","doi-asserted-by":"publisher","first-page":"2437","DOI":"10.1109\/tvt.2020.2964847","volume":"69","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Yan, J., Zhang, P.: Multi-UAV formation control based on a novel back-stepping approach. IEEE Trans. Veh. Technol. 69(3), 2437\u20132448 (2020). https:\/\/doi.org\/10.1109\/tvt.2020.2964847","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"7","key":"1_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-020-3001-7","volume":"64","author":"Z Zhou","year":"2021","unstructured":"Zhou, Z., Cao, Y., Hu, G., Zhang, Y., Tang, S., Chen, Y.: New health-state assessment model based on belief rule base with interpretability. Sci. China Inf. Sci. 64(7), 1\u201315 (2021). https:\/\/doi.org\/10.1007\/s11432-020-3001-7","journal-title":"Sci. China Inf. Sci."},{"issue":"2","key":"1_CR30","doi-asserted-by":"publisher","first-page":"1340","DOI":"10.1109\/tit.2017.2756845","volume":"64","author":"Z Zhou","year":"2018","unstructured":"Zhou, Z., Zhang, D., Helleseth, T., Wen, J.: A construction of multiple optimal ZCZ sequence sets with good cross correlation. IEEE Trans. Inf. Theory 64(2), 1340\u20131346 (2018). https:\/\/doi.org\/10.1109\/tit.2017.2756845","journal-title":"IEEE Trans. Inf. Theory"}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0771-6_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T20:22:12Z","timestamp":1765052532000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0771-6_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819607709","9789819607716"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0771-6_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icira2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}