2003
DOI: 10.1016/s0005-1098(03)00219-x
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Adaptive actuator failure compensation for parametric strict feedback systems and an aircraft application

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Cited by 271 publications
(125 citation statements)
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“…The aim is to prove the asymptotic stability of the error variables´1;´2;´3; ::::;´} defined in (8).…”
Section: Proofmentioning
confidence: 99%
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“…The aim is to prove the asymptotic stability of the error variables´1;´2;´3; ::::;´} defined in (8).…”
Section: Proofmentioning
confidence: 99%
“…This calls for a reconfiguration or rather an online adaptation of the controller in order to compensate for the failure-induced adversities on the plant. These reconfigurable schemes include direct adaptive control [6][7][8][9][10], sliding mode control (SMC) [11][12][13], adaptive SMC (ASMC) [14,15], SMC with control allocation [16][17][18][19], learning-based approaches [20][21][22][23], and multiplemodel adaptive control [24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
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“…Therefore, with a proper actuator redundancy, how to design an FTC law to mitigate the effect of actuator failures on the system dynamics is of both practical and theoretical importance. Many FTC approaches against actuator failures have been proposed so far, [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] among which adaptive FTC has been proved to be an effective way to accommodate actuator failures, parameter uncertainties, and external disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…In [12], the adaptive backstepping method was used to design controllers for HFVs, while fuzzy logic systems (FLSs) and neural networks (NNs) were used to approximate the unknown system dynamics in [13,14]. However, backstepping design suffers from the problem of "explosion of complexity" caused by the repeated differentiations of nonlinear functions [5,[15][16][17]. To eliminate this problem, dynamic surface control (DSC) was applied to longitudinal dynamics of HFVs in [18][19][20][21][22][23], which uses a low-pass filter at each design 2 Mathematical Problems in Engineering step to avoid the derivatives of nonlinear functions.…”
Section: Introductionmentioning
confidence: 99%