{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T10:48:03Z","timestamp":1753440483285,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T00:00:00Z","timestamp":1600992000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T00:00:00Z","timestamp":1600992000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61873213","61633011"],"award-info":[{"award-number":["61873213","61633011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation Project of Chongqing","award":["cstc2019jcyj-msxmX036"],"award-info":[{"award-number":["cstc2019jcyj-msxmX036"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s12559-020-09767-9","type":"journal-article","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T07:03:36Z","timestamp":1601017416000},"page":"1370-1380","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Neural Network\u2013Based Event-Triggered Adaptive Control Algorithms for Uncertain Nonlinear Systems with Actuator Failures"],"prefix":"10.1007","volume":"12","author":[{"given":"Lihua","family":"Tan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6194-3497","authenticated-orcid":false,"given":"Chuandong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Junjian","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,25]]},"reference":[{"issue":"3","key":"9767_CR1","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1109\/LCSYS.2020.3006187","volume":"5","author":"K Aryankia","year":"2021","unstructured":"Aryankia K, Selmic RR. Neuro-adaptive formation control and target tracking for nonlinear multi-agent systems with time-delay. IEEE Control Systems Letters 2021;5(3):791\u20136.","journal-title":"IEEE Control Systems Letters"},{"issue":"2","key":"9767_CR2","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1109\/TII.2017.2715843","volume":"14","author":"W Zhang","year":"2018","unstructured":"Zhang W, Tang Y, Huang T, Vasilakos V. Consensus of networked euler-lagrange systems under time-varying sampled-data control. IEEE Trans. Ind. Inform 2018;14(2):535\u201344.","journal-title":"IEEE Trans. Ind. Inform"},{"issue":"1","key":"9767_CR3","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1109\/TTE.2020.2971825","volume":"6","author":"B Zhou","year":"2020","unstructured":"Zhou B, Chen G, Huang TW, Song QK, Yuan YF. Planning PEV Fast-charging stations using data-driven distributionally robust optimization approach based on \u03d5-divergence. IEEE Transactions on Transportation Electrification 2020;6(1):170\u201380.","journal-title":"IEEE Transactions on Transportation Electrification"},{"key":"9767_CR4","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.nahs.2018.10.004","volume":"31","author":"MJ Hu","year":"2019","unstructured":"Hu MJ, Wang YW, Xiao JW. On finite-time stability and stabilization of positive systems with impulses. Nonlinear Analysis-Hybrid Systems 2019;31:275\u201391.","journal-title":"Nonlinear Analysis-Hybrid Systems"},{"key":"9767_CR5","doi-asserted-by":"publisher","first-page":"114480","DOI":"10.1016\/j.apenergy.2019.114480","volume":"262","author":"B Zhou","year":"2020","unstructured":"Zhou B, Chen G, Song QK, Dong ZY. Robust chance-constrained programming approach for the planning of fast-charging stations in electrified transportation networks. Appl. Energ 2020;262:114480.","journal-title":"Appl. Energ"},{"issue":"6","key":"9767_CR6","doi-asserted-by":"publisher","first-page":"3741","DOI":"10.1016\/j.jfranklin.2020.02.053","volume":"357","author":"B Sun","year":"2020","unstructured":"Sun B, Cao YT, Guo ZY, Yan Z, Wen SP. Quantized passification of delayed memristor-based neural networks via sliding model control. Journal of the Franklin Institute. 2020;357(6):3741\u201342.","journal-title":"Journal of the Franklin Institute."},{"issue":"8","key":"9767_CR7","doi-asserted-by":"publisher","first-page":"3089","DOI":"10.1109\/TCSI.2019.2904747","volume":"66","author":"Y Yang","year":"2019","unstructured":"Yang Y, Xu HW, Yue D. Observer-based distributed secure consensus control of a class of linear multi-agent systems subject to random attacks. IEEE Trans. Circuits Syst. I, Reg. Papers 2019;66(8): 3089\u201399.","journal-title":"IEEE Trans. Circuits Syst. I, Reg. Papers"},{"key":"9767_CR8","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neucom.2020.04.007","volume":"406","author":"TP Zhang","year":"2020","unstructured":"Zhang TP, Xu HX, Xia XN, Yi Y. Adaptive neural optimal control of uncertain nonlinear systems with output constraints. Neurocomputing 2020;406:182\u201395.","journal-title":"Neurocomputing"},{"key":"9767_CR9","doi-asserted-by":"crossref","first-page":"124895","DOI":"10.1016\/j.amc.2019.124895","volume":"371","author":"B Zhou","year":"2020","unstructured":"Zhou B, Song Q, Zhao Z, Liu T. A reinforcement learning scheme for the equilibrium of the in-vehicle route choice problem based on congestion game. Appl. Math Comput 2020;371:124895.","journal-title":"Appl. Math Comput"},{"key":"9767_CR10","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.fss.2019.06.014","volume":"392","author":"Q Zhang","year":"2020","unstructured":"Zhang Q, Dong JX. Disturbance-observer-based adaptive fuzzy control for nonlinear state constrained systems with input saturation and input delay. Fuzzy Set. Syst 2020;392:77\u201392.","journal-title":"Fuzzy Set. Syst"},{"issue":"11","key":"9767_CR11","doi-asserted-by":"publisher","first-page":"2242","DOI":"10.1109\/TFUZZ.2019.2896843","volume":"27","author":"H Ma","year":"2019","unstructured":"Ma H, Li HY, Liang HJ, Dong GW. Adaptive fuzzy event-triggered control for stochastic nonlinear systems with full state constraints and actuator faults. IEEE Trans. Fuzzy Syst 2019;27(11):2242\u201354.","journal-title":"IEEE Trans. Fuzzy Syst"},{"issue":"5","key":"9767_CR12","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1109\/JAS.2020.1003213","volume":"7","author":"L Liu","year":"2020","unstructured":"Liu L, Guo TT, Liu YJ, Tong SC. Time-varying asymmetrical BLFs based adaptive finite-time neural control of nonlinear systems with full state constraints. IEEE-CAA Journal of Automatica Sinica 2020;7 (5):1335\u201343.","journal-title":"IEEE-CAA Journal of Automatica Sinica"},{"key":"9767_CR13","unstructured":"Yang Y, Tan J, Yue D, Xie XP, Yue WB. Observer-Based containment control for a class of nonlinear multiagent systems with uncertainties. IEEE Trans. Syst., Man, Cybern., Syst. to bu published."},{"key":"9767_CR14","doi-asserted-by":"publisher","first-page":"106372","DOI":"10.1016\/j.asoc.2020.106372","volume":"93","author":"JH Wang","year":"2020","unstructured":"Wang JH, Huang YC, Wang T, Zhang CL, Liu YH. Fuzzy finite-time stable compensation control for a building structural vibration system with actuator failures. Appl. Soft Comput 2020;93:106372.","journal-title":"Appl. Soft Comput"},{"issue":"7","key":"9767_CR15","doi-asserted-by":"publisher","first-page":"1591","DOI":"10.1109\/TCYB.2015.2452217","volume":"46","author":"CLP Chen","year":"2016","unstructured":"Chen CLP, Wen GX, Liu YJ, Liu Z. Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems. IEEE Trans. Cybern 2016;46(7): 1591\u20131601.","journal-title":"IEEE Trans. Cybern"},{"key":"9767_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neunet.2019.04.026","volume":"117","author":"D Wang","year":"2019","unstructured":"Wang D, Qiao JF. Approximate neural optimal control with reinforcement learning for a torsional pendulum device. Neural Netw 2019;117:1\u20137.","journal-title":"Neural Netw"},{"key":"9767_CR17","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1016\/j.ins.2016.06.010","volume":"369","author":"YM Sun","year":"2016","unstructured":"Sun YM, Chen B, Lin C, Wang HH, Zhou SW. Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach. Inform. Sciences 2016;369:748\u201364.","journal-title":"Inform. Sciences"},{"issue":"6","key":"9767_CR18","doi-asserted-by":"publisher","first-page":"1530","DOI":"10.1016\/j.automatica.2009.02.025","volume":"45","author":"B Chen","year":"2009","unstructured":"Chen B, Liu XP, Liu KF, Lin C. Direct adaptive fuzzy control of nonlinear strict-feedback systems. Automatica 2009;45(6):1530\u201335.","journal-title":"Automatica"},{"issue":"11","key":"9767_CR19","doi-asserted-by":"publisher","first-page":"11304","DOI":"10.1109\/TPEL.2020.2986945","volume":"35","author":"JT Nie","year":"2020","unstructured":"Nie JT, Zhao ZM, Yuan LQ, Duan RZ, Shi BQ, Jin LP. An energy balance active disturbance rejection control for improving converter stability while maintaining fast dynamic performance. IEEE Trans. Power Electr 2020;35(11):11304\u201309.","journal-title":"IEEE Trans. Power Electr"},{"issue":"4","key":"9767_CR20","doi-asserted-by":"publisher","first-page":"5717","DOI":"10.1109\/LRA.2020.3010738","volume":"5","author":"CD Santina","year":"2020","unstructured":"Santina CD, Truby RL, Rus D. Data-driven disturbance observers for estimating external forces on soft robots. IEEE Robot Autom Let 2020;5(4):5717\u201324.","journal-title":"IEEE Robot Autom Let"},{"issue":"12","key":"9767_CR21","doi-asserted-by":"publisher","first-page":"7706","DOI":"10.1109\/TIE.2015.2455053","volume":"62","author":"M Chen","year":"2015","unstructured":"Chen M, Ge SS. Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer. IEEE Trans. Ind. Electron. 2015;62(12):7706\u20137716.","journal-title":"IEEE Trans. Ind. Electron."},{"key":"9767_CR22","doi-asserted-by":"publisher","first-page":"105292","DOI":"10.1016\/j.cnsns.2020.105292","volume":"89","author":"YL Huang","year":"2020","unstructured":"Huang YL, Lin SR, Yang EF. Event-triggered passivity of multi-weighted coupled delayed reaction-diffusion memristive neural networks with fixed and switching topologies. Commun. Nonlinear. Sci. Numer. Simulat 2020;89:105292.","journal-title":"Commun. Nonlinear. Sci. Numer. Simulat"},{"issue":"5","key":"9767_CR23","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1109\/TCST.2019.2923374","volume":"28","author":"M Kooshkbaghi","year":"2020","unstructured":"Kooshkbaghi M, Marquez HJ, Xu W. Event-triggered approach to dynamic state estimation of a synchronous machine using cubature Kalman filter IEEE Trans. Control Syst. Technol 2020;28(5):2013\u201320.","journal-title":"Control Syst. Technol"},{"key":"9767_CR24","doi-asserted-by":"publisher","first-page":"106798","DOI":"10.1016\/j.ymssp.2020.106798","volume":"143","author":"WF Li","year":"2020","unstructured":"Li WF, Xie ZC, Zhao J, Wong PK. Velocity-based robust fault tolerant automatic steering control of autonomous ground vehicles via adaptive event triggered network communication. Mechanical Systems and Signal Processing 2020;143:106798.","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"12","key":"9767_CR25","doi-asserted-by":"publisher","first-page":"6242","DOI":"10.1109\/TNNLS.2018.2828140","volume":"29","author":"YX Li","year":"2018","unstructured":"Li YX, Yang GH. Adaptive neural control of pure-feedback nonlinear systems with event-triggered communication. IEEE Trans. Neural Netw. Learn. Syst 2018;29(12):6242\u201351.","journal-title":"IEEE Trans. Neural Netw. Learn. Syst"},{"issue":"1","key":"9767_CR26","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1007\/s11071-020-05786-1","volume":"101","author":"YQ Wang","year":"2020","unstructured":"Wang YQ, Chen F, Zhuang GM. Dynamic event-based reliable dissipative asynchronous control for stochastic Markov jump systems with general conditional probabilities. Nonlinear Dynam 2020;101(1): 465\u201385.","journal-title":"Nonlinear Dynam"},{"issue":"2","key":"9767_CR27","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1109\/TAC.2019.2916999","volume":"65","author":"CL Wang","year":"2020","unstructured":"Wang CL, Wen CY, Hu QL. Event-triggered adaptive control for a class of nonlinear systems with unknown control direction and sensor faults. IEEE Trans. Autom. control 2020;65(2):763\u201370.","journal-title":"IEEE Trans. Autom. control"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-020-09767-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12559-020-09767-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-020-09767-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T20:49:18Z","timestamp":1723668558000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12559-020-09767-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,25]]},"references-count":27,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["9767"],"URL":"https:\/\/doi.org\/10.1007\/s12559-020-09767-9","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"type":"print","value":"1866-9956"},{"type":"electronic","value":"1866-9964"}],"subject":[],"published":{"date-parts":[[2020,9,25]]},"assertion":[{"value":"3 August 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interest"}}]}}