2016
DOI: 10.1016/j.ifacol.2016.11.097
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Synchronisation and Circuit Model of Fractional-Order Chaotic Systems with Time-Delay

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Cited by 8 publications
(6 citation statements)
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“…Although [14] has used smaller control inputs than [13], it has ignored the effect of time delay on the systems dynamics. While, because of the limited speed of data processing, there is always a time delay in practical systems [15]. On the other hand, [13] and [14] have used chaotic systems with identical fractional orders to design their voice cryptosystems.…”
Section: Introductionmentioning
confidence: 99%
“…Although [14] has used smaller control inputs than [13], it has ignored the effect of time delay on the systems dynamics. While, because of the limited speed of data processing, there is always a time delay in practical systems [15]. On the other hand, [13] and [14] have used chaotic systems with identical fractional orders to design their voice cryptosystems.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the analysis and control design of various systems that involve time delays have received significant attention from various researchers in modern fractional engineering control practice. [15][16][17][18][19][20][21][22] For instance, Deng et al 15 showed that it is possible to synchronize the states of fractional time-delayed Duffing systems by the utilization of linear stability theory. Using the time-delayed feedback control, Gjurchinovski et al 16 showed that it is possible to stabilize the states and unstable periodic orbits in fractional-order chaotic systems.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, many control techniques such as linear feedback control and delayed feedback control have been proposed for controlling and synchronizing the unsteady dynamics of real-order time-delay systems. [18][19][20][21][22] We are often interested in the asymptotic convergence of nonautonomous real-order systems that involve delay or no delay because it provides sufficient information to analyze the response of the system. Thus, it enables one to effectively control the unsteady-steady dynamics by using the appropriate control input functions.…”
Section: Introductionmentioning
confidence: 99%
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