{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:08:23Z","timestamp":1740103703795,"version":"3.37.3"},"reference-count":36,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T00:00:00Z","timestamp":1593216000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11671206","11601474","KJ2018A0700"],"award-info":[{"award-number":["11671206","11601474","KJ2018A0700"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11671206","11601474","KJ2018A0700"],"award-info":[{"award-number":["11671206","11601474","KJ2018A0700"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Natural Science Research of Anhui Higher Education Institutions of China","award":["11671206","11601474","KJ2018A0700"],"award-info":[{"award-number":["11671206","11601474","KJ2018A0700"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,6,27]]},"abstract":"<jats:p>This paper focuses on the exponential stabilization problem for Markov jump neural networks with Time-varying Delays (TDs). Firstly, we provide a new Free-matrix-based Exponential-type Integral Inequality (FMEII) containing the information of attenuation exponent, which is helpful to reduce the conservativeness of stability criteria. To further save control cost, we introduce a sample-based Adaptive Event-triggered Impulsive Control (AEIC) scheme, in which the trigger threshold is adaptively varied with the sampled state. By fully considering the information about sampled state, TDs, and Markov jump parameters, a suitable Lyapunov\u2013Krasovskii functional is constructed. With the virtue of FMEII and AEIC scheme, some novel stabilization criteria are presented in the form of linear matrix inequalities. At last, two numerical examples are given to show the validity of the obtained results.<\/jats:p>","DOI":"10.1155\/2020\/3956549","type":"journal-article","created":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T23:31:32Z","timestamp":1593300692000},"page":"1-15","source":"Crossref","is-referenced-by-count":2,"title":["Stochastic Exponential Stabilization for Markov Jump Neural Networks with Time-varying Delays via Adaptive Event-Triggered Impulsive Control"],"prefix":"10.1155","volume":"2020","author":[{"given":"Xiaoman","family":"Liu","sequence":"first","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming 650500, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8617-6482","authenticated-orcid":true,"given":"Haiyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming 650500, China"},{"name":"School of Science, Nanjing University of Science and Technology, Nanjing 210094, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1545-821X","authenticated-orcid":true,"given":"Tao","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Southeast University, Nanjing 210096, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2825-9896","authenticated-orcid":true,"given":"Jinlong","family":"Shu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Information Science, Shaanxi Normal University, Xi\u2019an 710062, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/s0893-6080(97)00033-6"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2012.03.012"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.10.011"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-3224-0"},{"issue":"1","key":"5","first-page":"58","volume":"30","year":"2018","journal-title":"IEEE Transactions on Neural Networks & Learning Systems"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.049"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/tnb.2018.2887305"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2018.1536235"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.physleta.2006.03.078"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2015.2499169"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2018.2866906"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-008-9433-4"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tfuzz.2018.2832614"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.4363"},{"issue":"4","key":"15","doi-asserted-by":"crossref","first-page":"2581","DOI":"10.1016\/j.nonrwa.2008.03.004","volume":"10","year":"2009","journal-title":"Nonlinear Analysis Real World Applications"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2370-0"},{"issue":"2","key":"17","first-page":"325","volume":"47","year":"2018","journal-title":"Neural Processing Letters"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-018-0202-y"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2016.02.002"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2017.04.007"},{"issue":"11","key":"21","first-page":"2318","volume":"49","year":"2018","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2015.11.076"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.aml.2018.06.013"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.055"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2786474"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2936586"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.2964172"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.09.014"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1080\/00207179.2017.1350884"},{"issue":"8","key":"30","doi-asserted-by":"crossref","first-page":"3599","DOI":"10.1109\/TNNLS.2017.2731865","volume":"29","year":"2018","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2017.0820"},{"year":"2003","key":"32"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2015.01.004"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1016\/j.nahs.2014.04.001"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.12.039"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2015.2507790"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/3956549.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/3956549.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/3956549.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,27]],"date-time":"2020-06-27T23:31:38Z","timestamp":1593300698000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2020\/3956549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,27]]},"references-count":36,"alternative-id":["3956549","3956549"],"URL":"https:\/\/doi.org\/10.1155\/2020\/3956549","relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2020,6,27]]}}}