2017
DOI: 10.1115/1.4037672
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Robust Adaptive Synchronization of Chaotic Systems With Nonsymmetric Input Saturation Constraints

Abstract: This paper considers the robust synchronization of chaotic systems in the presence of nonsymmetric input saturation constraints. The synchronization happens between two nonlinear master and slave systems in the face of model uncertainties and external disturbances. A new adaptive sliding mode controller is designed in a way that the robust synchronization occurs. In this regard, a theorem is proposed, and according to the Lyapunov approach the adaptation laws are derived, and it is proved that the synchronizat… Show more

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Cited by 8 publications
(1 citation statement)
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“…In this structure, the state trajectories of the slave system should track the state trajectories of the master system. Until now, a wide variety of approaches have been proposed for the synchronization of chaotic systems which include adaptive control (Mohammadpour & Binazadeh, 2018a;Yau & Chen, 2007), observer-based control (Mohammadpour & Binazadeh, 2017, 2018b, sliding mode control (Li, Liao, Li, & Li, 2011), backstepping control (Xing-Yuan & Hao, 2013), active control (Cai, Jing, & Zhang, 2010), fractional-order control (Velmurugan & Rakkiyappan, 2016), fuzzy control approach (Lin & Wang, 2011) and so on.…”
Section: Introductionmentioning
confidence: 99%
“…In this structure, the state trajectories of the slave system should track the state trajectories of the master system. Until now, a wide variety of approaches have been proposed for the synchronization of chaotic systems which include adaptive control (Mohammadpour & Binazadeh, 2018a;Yau & Chen, 2007), observer-based control (Mohammadpour & Binazadeh, 2017, 2018b, sliding mode control (Li, Liao, Li, & Li, 2011), backstepping control (Xing-Yuan & Hao, 2013), active control (Cai, Jing, & Zhang, 2010), fractional-order control (Velmurugan & Rakkiyappan, 2016), fuzzy control approach (Lin & Wang, 2011) and so on.…”
Section: Introductionmentioning
confidence: 99%