2018
DOI: 10.1016/j.isatra.2018.07.037
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Adaptive sensor fault-tolerant control for a class of multi-input multi-output nonlinear systems: Adaptive first-order filter-based dynamic surface control approach

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Cited by 12 publications
(11 citation statements)
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“…Then, the derivative of the Lyapunov V becomes: . According to [49] and [58], it can be concluded that the proposed algorithm is UUB with an exponential convergence rate γ in the presence of mismatched external force interaction, sensor faults and matched uncertainty (i.e. internal leakage).…”
Section: Proof Of Theoremmentioning
confidence: 96%
See 1 more Smart Citation
“…Then, the derivative of the Lyapunov V becomes: . According to [49] and [58], it can be concluded that the proposed algorithm is UUB with an exponential convergence rate γ in the presence of mismatched external force interaction, sensor faults and matched uncertainty (i.e. internal leakage).…”
Section: Proof Of Theoremmentioning
confidence: 96%
“…By transferring to another form [48], the sensor fault was rearranged with the same channel as the actuator fault. Khebbache et al [49] derived an FTC-based backstepping technique for a class of multi-input-multi-output nonlinear systems, in which adaptive laws for fault estimation were involved in each step of the recursive design. However, the approach supposed that all first measured outputs were faultfree.…”
Section: Introductionmentioning
confidence: 99%
“…In [21], the authors proposed a dynamic surface-based control approach using the Nussbaum-type function for attitude stabilization of a spacecraft under actuator saturation. More results can be found in [22], where an active fault-tolerant control scheme has been developed for a class of MIMO nonlinear systems with sensor failures based on dynamic surface control (DSC).…”
Section: A R T I C L E I N F Omentioning
confidence: 99%
“…Many researchers have concentrated on addressing the control problem of fixed-wing UAVs subject to actuator fault, thereby publishing numerous results regarding passive or active FTC. Active FTC identifies faults through fault detection and diagnosis block in real time, while passive FTC uses a single fixed controller through the robust control strategy [2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%