2016
DOI: 10.1016/j.chaos.2016.05.007
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Robust Synchronization of Fractional-Order Chaotic Systems at a Pre-Specified Time Using Sliding Mode Controller with Time-Varying Switching Surfaces

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Cited by 19 publications
(3 citation statements)
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“…Several methods have been used in secure communications. The various methods that have been presented for synchronization include active control (Huang and Cao, 2017), impulse control (Stamov and Stamova, 2017), sliding mode control (Rabah et al, 2017), back-stepping control (Shukla and Sharma, 2017), adaptive control (Liu et al, 2019), and robust control (Khanzadeh and Pourgholi, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Several methods have been used in secure communications. The various methods that have been presented for synchronization include active control (Huang and Cao, 2017), impulse control (Stamov and Stamova, 2017), sliding mode control (Rabah et al, 2017), back-stepping control (Shukla and Sharma, 2017), adaptive control (Liu et al, 2019), and robust control (Khanzadeh and Pourgholi, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Inspired by the work of Pecora and Carrol (1990) and synchronization methods developed in the case of classical integer-order systems, synchronization of fractional-order chaotic systems in the continuous-time domain has received a lot of attention. Various methods such as the projective method, adaptive control, the impulsive method, active control and sliding mode techniques are proposed (Peng et al, 2014;Shao et al, 2016;Xi et al, 2014;Agrawal et al, 2012;Khanzadeh and Pourgholi, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, the synchronisation of fractional‐order chaotic systems has attracted increasing attention. Various methods have been proposed such as the function projective synchronisation method [24, 25], adaptive control method [26], active control [27], impulsive method [28], sliding mode observers [2931] and many others.…”
Section: Introductionmentioning
confidence: 99%