2015
DOI: 10.1016/j.neunet.2014.11.005
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Finite-time synchronization control of a class of memristor-based recurrent neural networks

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Cited by 99 publications
(45 citation statements)
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“…If Lyapunov functionV (t) ≤ −αV (t) (p = 0) when controllers are added into the network and the control rate θ = 1. Many previous results focus on this case (see [8,[24][25][26][27]). …”
Section: Remarkmentioning
confidence: 99%
See 2 more Smart Citations
“…If Lyapunov functionV (t) ≤ −αV (t) (p = 0) when controllers are added into the network and the control rate θ = 1. Many previous results focus on this case (see [8,[24][25][26][27]). …”
Section: Remarkmentioning
confidence: 99%
“…) 2 , the error systems (4) would be finite-time synchronized via continuous control, while this trivial case have been investigated by many previous works [8,[24][25][26][27]29]. Hence, this case is not discussed in this paper.…”
Section: Fast Synchronization Criteriamentioning
confidence: 99%
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“…That is why finite-time control problem becomes a hot topic nowadays. Finite-time synchronization of systems without time delay by using a feedback controller was investigated [13,30]. Finite-time synchronization of systems with time delay by designing a non-smooth controller and a smooth controller were studied [33]- [35], [36].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, lots of control approaches have been developed to synchronize nonlinear systems such as adaptive control [9,10], feedback control [11,12], observer control [13,14], impulsive control [15][16][17][18][19], and intermittent control [20][21][22][23][24][25][26]. Among these control approaches and other control methods, the discontinuous control methods, such as impulsive control and intermittent control, have received much interest because they are practical and easily implemented in engineering fields such as transportation and communication.…”
Section: Introductionmentioning
confidence: 99%