Abstract:Synchronization is the strongest form of collective phenomena in complex systems of interacting components. In this paper, the problem of cluster projective synchronization of complex networks with fractional-order nodes based on the fractional-order differential equation stability theory is investigated. Only the nodes in one community which have direct connections to the nodes in other communities are controlled. Some sufficient synchronization conditions are derived via pinning control. Numerical simulation… Show more
“…Remark 3. Compared with the integer-order adaptive controller in [35]- [36], our controller adds a positive control parameter d * i , which ensures the condition (12) in Theorem existing works [24]- [27]. The first part [−(d i (t)+d * i )Γe i (t)] of our controller is to synchronize all the nodes of each community to the same state.…”
Section: Model Description and Preliminariesmentioning
confidence: 99%
“…Definition 5. [27] For each continuous function f l (.) : R n → R n (l = 1, 2, ..., m) in fractional-order system (1), there exist positive definite matrices P = diag{p 1 , p 2 , ..., p n }, ∆ l = diag{δ l1 , δ l2 , ..., δ ln } and constants…”
Section: Definition 3 [25] Matrixmentioning
confidence: 99%
“…Liu et al [26] considered cluster synchronization in the fractionalorder dynamical network by pinning control inter-act nodes and discussed the influence of control gain and coupling strength on the clustering synchronization process. Yang et al [27] focused on cluster project synchronization for the fractional-order dynamical network with identical nodes and non-delayed linear coupling. In [28], based on the fractional stability theory, the authors investigated local and global cluster synchronization in fractional-order dynamical systems with asymmetric coupling matrix via using fractionalorder adaptive pinning control.…”
This paper investigates the adaptive cluster synchronization of fractional-order complex networks with internal and coupling delays as well as time-varying disturbances via the fractional-order hybrid controllers. To be more practical, the unknown disturbances and dynamical behaviors of nodes are assumed to be nonidentical. Based on the properties of fractional calculus and the fractional-order comparison principle, sufficient conditions are derived to guarantee the cluster synchronization of two kinds of fractional-order nonlinear dynamical systems, which extends the results in existing literatures. Numerical simulations are presented to show the effectiveness of our theoretical results.
“…Remark 3. Compared with the integer-order adaptive controller in [35]- [36], our controller adds a positive control parameter d * i , which ensures the condition (12) in Theorem existing works [24]- [27]. The first part [−(d i (t)+d * i )Γe i (t)] of our controller is to synchronize all the nodes of each community to the same state.…”
Section: Model Description and Preliminariesmentioning
confidence: 99%
“…Definition 5. [27] For each continuous function f l (.) : R n → R n (l = 1, 2, ..., m) in fractional-order system (1), there exist positive definite matrices P = diag{p 1 , p 2 , ..., p n }, ∆ l = diag{δ l1 , δ l2 , ..., δ ln } and constants…”
Section: Definition 3 [25] Matrixmentioning
confidence: 99%
“…Liu et al [26] considered cluster synchronization in the fractionalorder dynamical network by pinning control inter-act nodes and discussed the influence of control gain and coupling strength on the clustering synchronization process. Yang et al [27] focused on cluster project synchronization for the fractional-order dynamical network with identical nodes and non-delayed linear coupling. In [28], based on the fractional stability theory, the authors investigated local and global cluster synchronization in fractional-order dynamical systems with asymmetric coupling matrix via using fractionalorder adaptive pinning control.…”
This paper investigates the adaptive cluster synchronization of fractional-order complex networks with internal and coupling delays as well as time-varying disturbances via the fractional-order hybrid controllers. To be more practical, the unknown disturbances and dynamical behaviors of nodes are assumed to be nonidentical. Based on the properties of fractional calculus and the fractional-order comparison principle, sufficient conditions are derived to guarantee the cluster synchronization of two kinds of fractional-order nonlinear dynamical systems, which extends the results in existing literatures. Numerical simulations are presented to show the effectiveness of our theoretical results.
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