{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T12:42:25Z","timestamp":1765888945458,"version":"3.37.3"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T00:00:00Z","timestamp":1659571200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T00:00:00Z","timestamp":1659571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Foundation of the Anhui Higher Education Institutions","award":["KJ2020A0248"],"award-info":[{"award-number":["KJ2020A0248"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s00034-022-02125-0","type":"journal-article","created":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T09:03:32Z","timestamp":1659603812000},"page":"173-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Delay-Independent and Dependent $${\\mathcal {L}}_{2}-{\\mathcal {L}}_{\\infty }$$ Filter Design for Time-Delay Reaction\u2013Diffusion Switched Hopfield Networks"],"prefix":"10.1007","volume":"42","author":[{"given":"Weipeng","family":"Tai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anqi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7024-1227","authenticated-orcid":false,"given":"Jianping","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,4]]},"reference":[{"issue":"4","key":"2125_CR1","first-page":"1831","volume":"7","author":"CK Ahn","year":"2011","unstructured":"C.K. Ahn, M.K. Song, $${\\cal{L} }_{2}-{\\cal{L} }_{\\infty }$$ filtering for time-delayed switched Hopfield neural networks. Int. J. Innov. Comput. Inf. Control 7(4), 1831\u20131844 (2011)","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"issue":"4","key":"2125_CR2","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1080\/00207721.2017.1421723","volume":"49","author":"MS Ali","year":"2018","unstructured":"M.S. Ali, J. Yogambigai, O. Kwon, Finite-time robust passive control for a class of switched reaction-diffusion stochastic complex dynamical networks with coupling delays and impulsive control. Int. J. Syst. Sci. 49(4), 718\u2013735 (2018)","journal-title":"Int. J. Syst. Sci."},{"issue":"4","key":"2125_CR3","doi-asserted-by":"publisher","first-page":"2109","DOI":"10.1016\/j.cnsns.2010.08.024","volume":"16","author":"P Balasubramaniam","year":"2011","unstructured":"P. Balasubramaniam, V. Vembarasan, R. Rakkiyappan, Delay-dependent robust exponential state estimation of Markovian jumping fuzzy Hopfield neural networks with mixed random time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 16(4), 2109\u20132129 (2011)","journal-title":"Commun. Nonlinear Sci. Numer. Simul."},{"issue":"1","key":"2125_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0167-7012(00)00201-3","volume":"43","author":"IA Basheer","year":"2000","unstructured":"I.A. Basheer, M. Hajmeer, Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Meth. 43(1), 3\u201331 (2000)","journal-title":"J. Microbiol. Meth."},{"issue":"3","key":"2125_CR5","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s11431-016-6006-5","volume":"59","author":"J Cao","year":"2016","unstructured":"J. Cao, R. Rakkiyappan, K. Maheswari, A. Chandrasekar, Exponential $${\\cal{H} }_{\\infty }$$ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities. Sci. China Tech. Sci. 59(3), 387\u2013402 (2016)","journal-title":"Sci. China Tech. Sci."},{"key":"2125_CR6","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/s00034-021-01799-2","volume":"41","author":"Q Chen","year":"2022","unstructured":"Q. Chen, X. Liu, F. Wang, Improved results on $${\\cal{L} }_{2}-{\\cal{L} }_{\\infty }$$ state estimation for neural networks with time-varying delay. Circuits Syst. Signal Process. 41, 122\u2013146 (2022)","journal-title":"Circuits Syst. Signal Process."},{"key":"2125_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2019.108564","volume":"109","author":"S Chen","year":"2019","unstructured":"S. Chen, G. Song, B. Zheng, T. Li, Finite-time synchronization of coupled reaction-diffusion neural systems via intermittent control. Automatica 109, 108564 (2019)","journal-title":"Automatica"},{"key":"2125_CR8","volume-title":"Fundamentals of Neural Networks: Architectures, Algorithms and Applications","author":"LV Fausett","year":"1994","unstructured":"L.V. Fausett, Fundamentals of Neural Networks: Architectures, Algorithms and Applications (Prentice-Hall, Englewood Cliffs, NJ, 1994)"},{"key":"2125_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0039-0","volume-title":"Stability of Time-Delay Systems","author":"K Gu","year":"2003","unstructured":"K. Gu, J. Chen, V.L. Kharitonov, Stability of Time-Delay Systems (Birkhauser, Boston, MA, 2003)"},{"key":"2125_CR10","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.chaos.2019.08.016","volume":"129","author":"Y Hong","year":"2019","unstructured":"Y. Hong, H. Bin, Z. Huang, Synchronization of state-switching Hopfield-type neural networks: a quantized level set approach. Chaos Solitons Fractals 129, 16\u201324 (2019)","journal-title":"Chaos Solitons Fractals"},{"issue":"3","key":"2125_CR11","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/BF00339943","volume":"52","author":"JJ Hopfield","year":"1985","unstructured":"J.J. Hopfield, D.W. Tank, \u201cNeural\u2019\u2019 computation of decisions in optimization problems. Biol. Cybern. 52(3), 141\u2013152 (1985)","journal-title":"Biol. Cybern."},{"issue":"8","key":"2125_CR12","doi-asserted-by":"publisher","first-page":"2554","DOI":"10.1073\/pnas.79.8.2554","volume":"79","author":"JJ Hopfield","year":"1982","unstructured":"J.J. Hopfield, Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. 79(8), 2554\u20132558 (1982)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"2125_CR13","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.nahs.2010.10.014","volume":"5","author":"L Hou","year":"2011","unstructured":"L. Hou, G. Zong, Y. Wu, Robust exponential stability analysis of discrete-time switched Hopfield neural networks with time delay. Nonlinear Anal. Hybrid Syst. 5(3), 525\u2013534 (2011)","journal-title":"Nonlinear Anal. Hybrid Syst."},{"issue":"4\u20136","key":"2125_CR14","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.physleta.2005.07.042","volume":"345","author":"H Huang","year":"2005","unstructured":"H. Huang, Y. Qu, H. Li, Robust stability analysis of switched Hopfield neural networks with time-varying delay under uncertainty. Phys. Lett. A 345(4\u20136), 345\u2013354 (2005)","journal-title":"Phys. Lett. A"},{"key":"2125_CR15","doi-asserted-by":"publisher","first-page":"5020","DOI":"10.1007\/s00034-020-01399-6","volume":"39","author":"DC Huong","year":"2020","unstructured":"D.C. Huong, V.T. Huynh, H. Trinh, On static and dynamic triggered mechanisms for event-triggered control of uncertain systems. Circuits Syst. Signal Process. 39, 5020\u20135038 (2020)","journal-title":"Circuits Syst. Signal Process."},{"issue":"3","key":"2125_CR16","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1109\/TFUZZ.2019.2908151","volume":"28","author":"HJ Kim","year":"2020","unstructured":"H.J. Kim, J.B. Park, Y.H. Joo, Decentralized $${\\cal{H} }_\\infty $$ sampled-data fuzzy filter for nonlinear interconnected oscillating systems with uncertain interconnections. IEEE Trans. Fuzzy Syst. 28(3), 487\u2013498 (2020)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"1","key":"2125_CR17","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s13042-015-0423-9","volume":"7","author":"R Li","year":"2016","unstructured":"R. Li, H. Wei, Synchronization of delayed Markovian jump memristive neural networks with reaction-diffusion terms via sampled data control. Int. J. Mach. Learn. Cybern. 7(1), 157\u2013169 (2016)","journal-title":"Int. J. Mach. Learn. Cybern."},{"issue":"2","key":"2125_CR18","first-page":"331","volume":"27","author":"X Liang","year":"2022","unstructured":"X. Liang, S. Wang, R. Wang, X. Hu, Z. Wang, Synchronization of reaction-diffusion Hopfield neural networks with s-delays through sliding mode control. Nonlinear Anal. Model. Control 27(2), 331\u2013349 (2022)","journal-title":"Nonlinear Anal. Model. Control"},{"issue":"1","key":"2125_CR19","first-page":"78","volume":"28","author":"X Liao","year":"2000","unstructured":"X. Liao, Y. Fu, J. Gao, X. Zhao, Stability of Hopfield neural networks with reaction-diffusion terms. Acta Electron. Sin. 28(1), 78\u201380 (2000)","journal-title":"Acta Electron. Sin."},{"key":"2125_CR20","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.neunet.2020.09.009","volume":"132","author":"X Liu","year":"2020","unstructured":"X. Liu, Z. Li, K. Wu, Boundary Mittag\u2013Leffler stabilization of fractional reaction-diffusion cellular neural networks. Neural Netw. 132, 269\u2013280 (2020)","journal-title":"Neural Netw."},{"issue":"5","key":"2125_CR21","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.neunet.2005.03.015","volume":"19","author":"Y Liu","year":"2006","unstructured":"Y. Liu, Z. Wang, X. Liu, Global exponential stability of generalized recurrent neural networks with discrete and distributed delays. Neural Netw. 19(5), 667\u2013675 (2006)","journal-title":"Neural Netw."},{"key":"2125_CR22","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.neucom.2018.08.015","volume":"317","author":"X Lu","year":"2018","unstructured":"X. Lu, W. Chen, Z. Ruan, T. Huang, A new method for global stability analysis of delayed reaction-diffusion neural networks. Neurocomputing 317, 127\u2013136 (2018)","journal-title":"Neurocomputing"},{"key":"2125_CR23","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.neunet.2021.04.007","volume":"141","author":"B Miao","year":"2021","unstructured":"B. Miao, X. Li, J. Lou, J. Lu, Pinning bipartite synchronization for coupled reaction-diffusion neural networks with antagonistic interactions and switching topologies. Neural Netw. 141, 174\u2013183 (2021)","journal-title":"Neural Netw."},{"issue":"3","key":"2125_CR24","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1016\/j.jfranklin.2017.12.016","volume":"355","author":"N Ozcan","year":"2018","unstructured":"N. Ozcan, M.S. Ali, J. Yogambigai, Q. Zhu, S. Arik, Robust synchronization of uncertain Markovian jump complex dynamical networks with time-varying delays and reaction-diffusion terms via sampled-data control. J. Frank. Inst. 355(3), 1192\u20131216 (2018)","journal-title":"J. Frank. Inst."},{"issue":"3","key":"2125_CR25","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/s00521-015-2079-5","volume":"28","author":"R Rakkiyappan","year":"2017","unstructured":"R. Rakkiyappan, S. Dharani, Sampled-data synchronization of randomly coupled reaction-diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach. Neural Comput. Appl. 28(3), 449\u2013462 (2017)","journal-title":"Neural Comput. Appl."},{"issue":"3","key":"2125_CR26","doi-asserted-by":"publisher","first-page":"1040","DOI":"10.1016\/j.jfranklin.2017.12.011","volume":"355","author":"R Sakthivel","year":"2018","unstructured":"R. Sakthivel, S. Santra, B. Kaviarasan, Resilient sampled-data control design for singular networked systems with random missing data. J. Frank. Inst. 355(3), 1040\u20131072 (2018)","journal-title":"J. Frank. Inst."},{"issue":"1","key":"2125_CR27","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1007\/s11071-021-06995-y","volume":"107","author":"S Santra","year":"2022","unstructured":"S. Santra, M. Joby, M. Sathishkumar, S.M. Anthoni, LMI approach-based sampled-data control for uncertain systems with actuator saturation: application to multi-machine power system. Nonlinear Dyn. 107(1), 967\u2013982 (2022)","journal-title":"Nonlinear Dyn."},{"issue":"3","key":"2125_CR28","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1109\/TCYB.2018.2877410","volume":"50","author":"L Shanmugam","year":"2020","unstructured":"L. Shanmugam, P. Mani, R. Rajan, Y.H. Joo, Adaptive synchronization of reaction-diffusion neural networks and its application to secure communication. IEEE Trans. Cybern. 50(3), 911\u2013922 (2020)","journal-title":"IEEE Trans. Cybern."},{"key":"2125_CR29","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.neunet.2018.03.008","volume":"103","author":"Q Song","year":"2018","unstructured":"Q. Song, Q. Yu, Z. Zhao, Y. Liu, F.E. Alsaadi, Boundedness and global robust stability analysis of delayed complex-valued neural networks with interval parameter uncertainties. Neural Netw. 103, 55\u201362 (2018)","journal-title":"Neural Netw."},{"key":"2125_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3068734","author":"X Song","year":"2021","unstructured":"X. Song, J. Man, J.H. Park, S. Song, Finite-time synchronization of reaction-diffusion inertial memristive neural networks via gain-scheduled pinning control. IEEE Trans. Neural Netw. Learn. Syst. (2021). https:\/\/doi.org\/10.1109\/TNNLS.2021.3068734","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2125_CR31","doi-asserted-by":"publisher","first-page":"14639","DOI":"10.1007\/s00521-020-04817-7","volume":"32","author":"X Song","year":"2020","unstructured":"X. Song, J. Man, S. Song, Z. Wang, State estimation of T-S fuzzy Markovian generalized neural networks with reaction-diffusion terms: a time-varying nonfragile proportional retarded sampled-data control scheme. Neural Comput. Appl. 32, 14639\u201314653 (2020)","journal-title":"Neural Comput. Appl."},{"issue":"8","key":"2125_CR32","doi-asserted-by":"publisher","first-page":"2157","DOI":"10.1016\/j.automatica.2007.12.013","volume":"44","author":"AM Stoica","year":"2008","unstructured":"A.M. Stoica, I. Yaesh, Markovian jump delayed Hopfield networks with multiplicative noise. Automatica 44(8), 2157\u20132162 (2008)","journal-title":"Automatica"},{"key":"2125_CR33","doi-asserted-by":"publisher","first-page":"085207","DOI":"10.1088\/1402-4896\/ac789d","volume":"97","author":"W Tai","year":"2022","unstructured":"W. Tai, A. Zhao, T. Guo, J. Zhou, Energy-to-peak synchronization for uncertain reaction-diffusion delayed neural networks. Phys. Scr. 97, 085207 (2022)","journal-title":"Phys. Scr."},{"key":"2125_CR34","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.matcom.2021.01.014","volume":"185","author":"W Tai","year":"2021","unstructured":"W. Tai, D. Zuo, Z. Xuan, J. Zhou, Z. Wang, Non-fragile $${\\cal{L} }_{2}-{\\cal{L} }_{\\infty }$$ filtering for a class of switched neural networks. Math. Comput. Simul. 185, 629\u2013645 (2021)","journal-title":"Math. Comput. Simul."},{"issue":"1","key":"2125_CR35","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1109\/TNN.2004.841813","volume":"16","author":"Z Wang","year":"2005","unstructured":"Z. Wang, D.W. Ho, X. Liu, State estimation for delayed neural networks. IEEE Trans. Neural Netw. 16(1), 279\u2013284 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"1","key":"2125_CR36","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.neunet.2008.09.015","volume":"22","author":"Z Wang","year":"2009","unstructured":"Z. Wang, Y. Liu, X. Liu, State estimation for jumping recurrent neural networks with discrete and distributed delays. Neural Netw. 22(1), 41\u201348 (2009)","journal-title":"Neural Netw."},{"key":"2125_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03037-6","volume-title":"Stability Analysis and Robust Control of Time-Delay Systems","author":"M Wu","year":"2010","unstructured":"M. Wu, Y. He, J. She, Stability Analysis and Robust Control of Time-Delay Systems (Springer, New York, 2010)"},{"key":"2125_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2021.105777","volume":"99","author":"T Wu","year":"2021","unstructured":"T. Wu, L. Xiong, J. Cao, J.H. Park, J. Cheng, Synchronization of coupled reaction-diffusion stochastic neural networks with time-varying delay via delay-dependent impulsive pinning control algorithm. Commun. Nonlinear Sci. Numer. Simul. 99, 105777 (2021)","journal-title":"Commun. Nonlinear Sci. Numer. Simul."},{"issue":"23","key":"2125_CR39","doi-asserted-by":"publisher","first-page":"16019","DOI":"10.1007\/s00521-021-06214-0","volume":"33","author":"Y Xu","year":"2021","unstructured":"Y. Xu, F. Sun, W. Li, Exponential synchronization of fractional-order multilayer coupled neural networks with reaction-diffusion terms via intermittent control. Neural Comput. Appl. 33(23), 16019\u201316032 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"11","key":"2125_CR40","doi-asserted-by":"publisher","first-page":"6712","DOI":"10.1109\/TSMC.2020.2964605","volume":"51","author":"Z Yan","year":"2021","unstructured":"Z. Yan, X. Huang, Y. Fan, J. Xia, H. Shen, Threshold-function-dependent quasi-synchronization of delayed memristive neural networks via hybrid event-triggered control. IEEE Trans. Syst. Man Cybern. 51(11), 6712\u20136722 (2021)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"2125_CR41","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1109\/TNNLS.2018.2853650","volume":"30","author":"X Yang","year":"2018","unstructured":"X. Yang, Q. Song, J. Cao, J. Lu, Synchronization of coupled Markovian reaction-diffusion neural networks with proportional delays via quantized control. IEEE Trans. Neural Netw. Learn. Syst. 30(3), 951\u2013958 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2125_CR42","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/j.neucom.2017.09.029","volume":"275","author":"H Yu","year":"2018","unstructured":"H. Yu, Y. He, M. Wu, Delay-dependent state estimation for neural networks with time-varying delay. Neurocomputing 275, 881\u2013887 (2018)","journal-title":"Neurocomputing"},{"issue":"1\u20133","key":"2125_CR43","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.neucom.2008.01.006","volume":"72","author":"B Zhang","year":"2008","unstructured":"B. Zhang, S. Xu, Y. Zou, Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays. Neurocomputing 72(1\u20133), 321\u2013330 (2008)","journal-title":"Neurocomputing"},{"key":"2125_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3122143","author":"R Zhang","year":"2021","unstructured":"R. Zhang, H. Wang, J.H. Park, K. Shi, P. He, Mode-dependent adaptive event-triggered control for stabilization of Markovian memristor-based reaction-diffusion neural networks. IEEE Trans. Neural Netw. Learn. Syst. (2021). https:\/\/doi.org\/10.1109\/TNNLS.2021.3122143","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2125_CR45","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.neunet.2017.04.009","volume":"93","author":"X Zhang","year":"2017","unstructured":"X. Zhang, C. Li, T. Huang, Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses. Neural Netw. 93, 176\u2013184 (2017)","journal-title":"Neural Netw."},{"key":"2125_CR46","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.neunet.2020.02.015","volume":"125","author":"J Zhou","year":"2020","unstructured":"J. Zhou, Y. Liu, J. Xia, Z. Wang, S. Arik, Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters. Neural Netw. 125, 194\u2013204 (2020)","journal-title":"Neural Netw."},{"issue":"9","key":"2125_CR47","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1109\/TNNLS.2012.2203360","volume":"23","author":"J Zhou","year":"2012","unstructured":"J. Zhou, S. Xu, B. Zhang, Y. Zou, H. Shen, Robust exponential stability of uncertain stochastic neural networks with distributed delays and reaction-diffusions. IEEE Trans. Neural Netw. Learn. Syst. 23(9), 1407\u20131416 (2012)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"2125_CR48","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/0167-6911(88)90034-5","volume":"10","author":"K Zhou","year":"1988","unstructured":"K. Zhou, P.P. Khargonekar, Robust stabilization of linear systems with norm-bounded time-varying uncertainty. Syst. Control Lett. 10(1), 17\u201320 (1988)","journal-title":"Syst. Control Lett."},{"issue":"1","key":"2125_CR49","doi-asserted-by":"publisher","first-page":"93","DOI":"10.15388\/namc.2021.26.20562","volume":"26","author":"Y Zhou","year":"2021","unstructured":"Y. Zhou, Y. Liu, J. Zhou, Z. Wang, Quantized passive filtering for switched delayed neural networks. Nonlinear Anal. Model. Control 26(1), 93\u2013112 (2021)","journal-title":"Nonlinear Anal. Model. Control"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-022-02125-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-022-02125-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-022-02125-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T05:17:58Z","timestamp":1672809478000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-022-02125-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,4]]},"references-count":49,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["2125"],"URL":"https:\/\/doi.org\/10.1007\/s00034-022-02125-0","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2022,8,4]]},"assertion":[{"value":"14 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflicts of interest to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}