2021
DOI: 10.1016/j.chaos.2021.110853
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Modified projective synchronization of distributive fractional order complex dynamic networks with model uncertainty via adaptive control

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Cited by 31 publications
(8 citation statements)
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“…In fact, most dynamic systems require an external controller to achieve final synchronization. So far, there have been many control mechanisms to achieve dynamic system synchronization, such as event triggered control [8], adaptive control [9], pinning control [10], and impulsive control [11,12]. Event triggering mechanism and impulsive control methods have been widely used in synchronous control research because of their respective advantages, and have attracted a large number of scholars' attention [11,[13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, most dynamic systems require an external controller to achieve final synchronization. So far, there have been many control mechanisms to achieve dynamic system synchronization, such as event triggered control [8], adaptive control [9], pinning control [10], and impulsive control [11,12]. Event triggering mechanism and impulsive control methods have been widely used in synchronous control research because of their respective advantages, and have attracted a large number of scholars' attention [11,[13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…2 Identifying the natural enemy of the pest and releasing the beneficial species at an early stage while the level of pests is still low is the secret to effective biological control. 3 Differential equations have been widely used as models in biology, astronomy, chemistry, engineering and other applied sciences, [4][5][6][7][8] with particular focus on population dynamics. [9][10][11][12][13] Recently, 14,15 formulated mathematical models to control Aedes aegypti mosquitoes population using biological control.…”
Section: Introductionmentioning
confidence: 99%
“…Compared to the integer-order differential models, the fractional-order models are easy to understand the nature of the dynamical system with more accuracy. Due to these advantages, many researchers have incorporated fractional order calculus into nonlinear dynamical systems, and a lot of scientific reports have been well documented in recent literature; see previous studies [1][2][3].…”
Section: Introductionmentioning
confidence: 99%