Stabilization and synchronization of chaotic systems via intermittent control

Fast synchronization of complex dynamical networks with time-varying delay via periodically intermittent control

“…Compared with continuous control methods, intermittent control is more efficient because the system output is measured intermittently rather than continuously [17]. In view of these merits, some dynamic systems with or without time delays were discussed by using the intermittent feedback control, and some promising results were achieved [14][15][16][17][18][19][20][21].…”

“…Nevertheless, to the best of our knowledge, most researches focus on the asymptotical or exponential synchronization of networks via intermittent control [14][15][16][17][18][19]. This means that the trajectories of the slave system can reach to the trajectories of the master system over the infinite horizon by using intermittent control method.…”

“…Synchronization plays a very important role in many contexts, such as synchronous communication, signal synchronization (for example, synchronization between video and audio signals), firefly bioluminescence synchronization, geostationary satellites, synchronous motors, database synchronization [1][2][3][4][5]. So far, many effective control approaches have been proposed to achieve synchronization, such as adaptive control [6][7], feedback control [8][9], pinning control [10][11], impulsive control [12][13] and intermittent control [14][15][16][17][18][19].…”

Exponential Synchronization of Master-Slave Neural Networks With Mixed Time-Varying Delays via Hybrid Intermittent Feedback Control

“…Another reason could be that the intermittent control scheme might be useful in communications, where synchronization of NNs between transmitter and receiver can be used as means of transmitting information [13]. In recent years, several synchronization criteria for neural networks with or without time delays via intermittent control have been presented, see [14,15,16,17,18]. In [16], the problem of synchronization for a class of CohenGrossberg neural networks with time delays under periodical in-termittent control has been investigated.…”

Finite-time synchronization of drive-response systems via periodically intermittent adaptive control

“…Many effective control methods including adaptive control [8][9][10][11][12][13][14], feedback control [15][16][17][18], observer control [19][20], pinning control [21][22][23], impulsive control [24][25][26][27][28] and intermittent control [29][30][31][32][33][34][35][36][37] have been proposed to drive the network to achieve synchronization. Among these control approaches, the discontinuous control methods which include impulsive control and intermittent control have attracted much interest due to its practical and easy implementation in engineering fields.…”