2017
DOI: 10.1007/s11432-016-9074-8
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Fault-tolerant cooperative control for multiple UAVs based on sliding mode techniques

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Cited by 41 publications
(31 citation statements)
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“…Ignoring the nonlinear term will lead to the decrease of control performance and even the instability of the system. Thus, various nonlinear control strategies have been proposed for the helicopters including feedback linearization [6], predictive control [7], backstepping control [8][9][10][11], sliding mode control (SMC) [12][13][14][15][16], and neural network (NN) control [17][18][19][20][21][22][23][24][25]. In [6], a flight controller with the approximate feedback linearization method and active disturbance rejection control was designed for the helicopter, which had good robustness.…”
Section: Introductionmentioning
confidence: 99%
“…Ignoring the nonlinear term will lead to the decrease of control performance and even the instability of the system. Thus, various nonlinear control strategies have been proposed for the helicopters including feedback linearization [6], predictive control [7], backstepping control [8][9][10][11], sliding mode control (SMC) [12][13][14][15][16], and neural network (NN) control [17][18][19][20][21][22][23][24][25]. In [6], a flight controller with the approximate feedback linearization method and active disturbance rejection control was designed for the helicopter, which had good robustness.…”
Section: Introductionmentioning
confidence: 99%
“…Dear editor, Fault-tolerant control (FTC) aims at guaranteeing a system goal to be achieved in spite of the existence of faults [1,2]. For a network system, both the self-dynamics of each individual subsystem (when there is no coupling) and coupled-dynamics can be faulty, and the FTC design should thus be considered for the overall network system rather than any individual subsystem [3,4].…”
mentioning
confidence: 99%
“…Dear editor, Fault-tolerant control is to let a system operate in a steady manner despite the fact that faults exist therein. There have been several results on 1D systems that consider only the time index [1][2][3][4]. Moreover, research on 2D systems has emerged, especially for batch processes that can be viewed as 2D systems [5][6][7].…”
mentioning
confidence: 99%