{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:48:35Z","timestamp":1775144915155,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819512324","type":"print"},{"value":"9789819512331","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T00:00:00Z","timestamp":1755561600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-1233-1_30","type":"book-chapter","created":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:05:57Z","timestamp":1755842757000},"page":"326-336","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Adaptive Zeroing Neural Network Model Based on\u00a0Fuzzy Factors for\u00a0Solving Time-Varying Quadratic Programming"],"prefix":"10.1007","author":[{"given":"Yidan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongbo","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bokai","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunling","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,19]]},"reference":[{"issue":"2","key":"30_CR1","doi-asserted-by":"publisher","first-page":"754","DOI":"10.1109\/TII.2019.2922694","volume":"16","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z., Chen, S., Zhu, X., Yan, Z.: Two hybrid end-effector posture-maintaining and obstacle-limits avoidance schemes for redundant robot manipulators. IEEE Trans. Ind. Informat. 16(2), 754\u2013763 (2020)","journal-title":"IEEE Trans. Ind. Informat."},{"issue":"7","key":"30_CR2","doi-asserted-by":"publisher","first-page":"4028","DOI":"10.1109\/TSMC.2019.2930763","volume":"51","author":"W Li","year":"2021","unstructured":"Li, W., Ma, X., Luo, J., Jin, L.: A strictly predefined-time convergent neural solution to equality- and inequality-constrained time-variant quadratic programming. IEEE Trans. Syst. Man Cybern. Syst. 51(7), 4028\u20134039 (2021)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Rivera, M., Dalmau, O., Tago, J.: Image segmentation by convex quadratic programming. In: 2008 19th International Conference on Pattern Recognition, pp. 1\u20135. IEEE (2008)","DOI":"10.1109\/ICPR.2008.4761385"},{"issue":"3","key":"30_CR4","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1109\/TPAMI.2016.2541146","volume":"39","author":"P Wang","year":"2017","unstructured":"Wang, P., Shen, C., van den Hengel, A., Torr, P.H.S.: Large-scale binary quadratic optimization using semidefinite relaxation and applications. IEEE Trans. Pattern Anal. Mach. Intell. 39(3), 470\u2013485 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Tang, C., Ding, Y.: A new parameter-changing integral ZNN model with nonlinear activation for solving inequality constraint time-varying quadratic programming. IEEE Access (2025)","DOI":"10.1109\/ACCESS.2025.3548004"},{"issue":"5","key":"30_CR6","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.1109\/TNN.2002.1031938","volume":"13","author":"Y Zhang","year":"2002","unstructured":"Zhang, Y., Jiang, D., Wang, J.: A recurrent neural network for solving sylvester equation with time-varying coefficients. IEEE Trans. Neural Netw. 13(5), 1053\u20131063 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"11","key":"30_CR7","doi-asserted-by":"publisher","first-page":"10786","DOI":"10.1109\/TII.2023.3241683","volume":"19","author":"Z Sun","year":"2023","unstructured":"Sun, Z., Tang, S., Jin, L., Zhang, J., Yu, J.: Nonconvex activation noise-suppressing neural network for time-varying quadratic programming: application to omnidirectional mobile manipulator. IEEE Trans. Ind. Informat. 19(11), 10786\u201310798 (2023)","journal-title":"IEEE Trans. Ind. Informat."},{"key":"30_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108405","volume":"242","author":"J Dai","year":"2022","unstructured":"Dai, J., Tan, P., Yang, X., Xiao, L., Jia, L., He, Y.: A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowl. Based Syst. 242, 108405 (2022)","journal-title":"Knowl. Based Syst."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Jin, J., Chen, W., Ouyang, A., et al.: Toward fuzzy activation function activated zeroing neural network for currents computing. IEEE Trans. Circ. Syst. II Express Briefs 70(11), 4201\u20134205 (2023)","DOI":"10.1109\/TCSII.2023.3269060"},{"issue":"1","key":"30_CR10","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1109\/TETCI.2023.3301793","volume":"8","author":"J Jin","year":"2023","unstructured":"Jin, J., Chen, W., Ouyang, A., Yu, F., Liu, H.: A time-varying fuzzy parameter zeroing neural network for the synchronization of chaotic systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(1), 364\u2013376 (2023)","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"issue":"4","key":"30_CR11","doi-asserted-by":"publisher","first-page":"1668","DOI":"10.1109\/TNNLS.2020.2986275","volume":"32","author":"J Dai","year":"2020","unstructured":"Dai, J., Jia, L., Xiao, L.: Design and analysis of two prescribed-time and robust ZNN models with application to time-variant stein matrix equation. IEEE Trans. Neural Netw. Learn. Syst. 32(4), 1668\u20131677 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.neunet.2019.05.005","volume":"117","author":"L Xiao","year":"2019","unstructured":"Xiao, L., et al.: A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. Neural Netw. 117, 124\u2013134 (2019)","journal-title":"Neural Netw."},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Yang, Y., et al.: A fractional-order recurrent neural network model for time-variant quadratic programming in robot motion planning. In: 2024 IEEE International Conference on Advanced Intelligent Mechatronics, pp. 1545\u20131552. IEEE (2024)","DOI":"10.1109\/AIM55361.2024.10637013"},{"issue":"6","key":"30_CR14","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1109\/TFUZZ.2020.2981001","volume":"29","author":"L Jia","year":"2020","unstructured":"Jia, L., Xiao, L., Dai, J., Qi, Z., Zhang, Z., Zhang, Y.: Design and application of an adaptive fuzzy control strategy to zeroing neural network for solving time-variant QP problem. IEEE Trans. Fuzzy Syst. 29(6), 1544\u20131555 (2020)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"8","key":"30_CR15","doi-asserted-by":"publisher","first-page":"8691","DOI":"10.1109\/TII.2022.3220873","volume":"19","author":"J Jin","year":"2022","unstructured":"Jin, J.: A predefined fixed-time convergence ZNN and its applications to time-varying quadratic programming solving and dual-arm manipulator cooperative trajectory tracking. IEEE Trans. Ind. Informat. 19(8), 8691\u20138702 (2022)","journal-title":"IEEE Trans. Ind. Informat."},{"key":"30_CR16","doi-asserted-by":"publisher","unstructured":"Tang, S., Xiao, X., Sun, Z., Hu, Y., Chen, H.: An anti-noise disturbance fuzzy neural dynamics for manipulability optimization of omnidirectional mobile redundant manipulator. IEEE Trans. Fuzzy Syst. 1\u201313 (2025). https:\/\/doi.org\/10.1109\/TFUZZ.2025.3554817","DOI":"10.1109\/TFUZZ.2025.3554817"},{"issue":"10","key":"30_CR17","doi-asserted-by":"publisher","first-page":"7135","DOI":"10.1109\/TNNLS.2021.3138900","volume":"34","author":"J Dai","year":"2022","unstructured":"Dai, J., Yang, X., Xiao, L., Jia, L., Liu, X., Wang, Y.: Design and analysis of a self-adaptive zeroing neural network for solving time-varying quadratic programming. IEEE Trans. Neural Netw. Learn. Syst. 34(10), 7135\u20137144 (2022)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-1233-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T14:51:21Z","timestamp":1775141481000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-1233-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,19]]},"ISBN":["9789819512324","9789819512331"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-1233-1_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,19]]},"assertion":[{"value":"19 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISNN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhangye","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isnn2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/isnn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}