{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:40:31Z","timestamp":1760143231778,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In the paper, we study the robust synchronization of complex dynamic networks (CDNs) with deviating arguments and parameter uncertainties via self-feedback control, the model involves both advanced and delayed arguments. In addition, based on the Gronwall inequality and inequality techniques, we derive upper bounds on the length of the arguments and the magnitude of the parameters, when the parameters and arguments of CDNs are below the upper bounds, the CDNs continue to exhibit exponential synchronization. In comparison to linear matrix inequalities and Lyapunov\u2019s method in the existing literature, we obtain elaborate bounds. Finally, Several simple examples can demonstrate the effectiveness of the results.<\/jats:p>","DOI":"10.3390\/sym16020158","type":"journal-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T12:25:01Z","timestamp":1706531101000},"page":"158","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robustness Analysis of Exponential Synchronization in Complex Dynamic Networks with Deviating Argumentsand Parameter Uncertainties"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9594-3874","authenticated-orcid":false,"given":"Tao","family":"Xie","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1016\/j.physa.2007.05.060","article-title":"Synchronization in complex delayed dynamical networks with impulsive effects","volume":"384","author":"Zhou","year":"2007","journal-title":"Physica A"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.automatica.2008.07.016","article-title":"On pinning synchronization of complex dynamical networks","volume":"45","author":"Yu","year":"2009","journal-title":"Automatica"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.neunet.2019.02.004","article-title":"Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control","volume":"114","author":"Ali","year":"2019","journal-title":"Neural Netw."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1016\/j.physleta.2010.02.024","article-title":"Robustness of pinning a general complex dynamical network","volume":"374","author":"Wang","year":"2010","journal-title":"Phys. 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