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Using the active control and adaptive control methods, efficient hybrid control strategies are designed for time-delayed fractional-order neural networks with uncertain parameters. Based on a new version of fractional-order Lyapunov stability theory, the projective synchronization conditions are addressed in terms of linear matrix inequalities, which is easily checked and applied to practical systems. Finally, numerical simulations and application of the proposed methods to secure communications have been presented to validate the synchronization method.<\/jats:p>","DOI":"10.1177\/0142331217714523","type":"journal-article","created":{"date-parts":[[2017,7,20]],"date-time":"2017-07-20T11:41:48Z","timestamp":1500550908000},"page":"3078-3087","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":35,"title":["Adaptive projective synchronization for time-delayed fractional-order neural networks with uncertain parameters and its application in secure communications"],"prefix":"10.1177","volume":"40","author":[{"given":"Xiaona","family":"Song","sequence":"first","affiliation":[{"name":"Information Engineering College, Henan University of Science and Technology, Luoyang 471023, 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