2022
DOI: 10.1109/tfuzz.2022.3157393
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Fast Nonsingular Fixed-Time Fuzzy Fault-Tolerant Control for HFVs With Guaranteed Time-Varying Flight State Constraints

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Cited by 14 publications
(5 citation statements)
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“…Remark The fault model in () covers the case that all actuators suffer from unknown and time‐varying faults and is much more general and challenging than those in the adaptive FTC schemes [16–21, 29], because βi$$ {\beta}_i $$ [16–21, 29] is required to be constant or piecewise constant. Particularly, in (), βi$$ {\beta}_i $$ describes the partial loss of effectiveness fault, and fi$$ {f}_i $$ covers the bias fault.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…Remark The fault model in () covers the case that all actuators suffer from unknown and time‐varying faults and is much more general and challenging than those in the adaptive FTC schemes [16–21, 29], because βi$$ {\beta}_i $$ [16–21, 29] is required to be constant or piecewise constant. Particularly, in (), βi$$ {\beta}_i $$ describes the partial loss of effectiveness fault, and fi$$ {f}_i $$ covers the bias fault.…”
Section: Problem Formulationmentioning
confidence: 99%
“…The bound estimation approach brings a nice feature that our scheme needs no restriction on the variation speed of the fault parameters βifalse(tfalse)$$ {\beta}_i(t) $$ and fifalse(tfalse)$$ {f}_i(t) $$ in (). Hence, as an advantage beyond the previous studies [16–21, 29], our proposed control scheme is able to deal with general and fast time‐varying faults. On the other hand, as can be seen from (), (), (), and the proof in the next section, the rest time‐varying uncertainties Gifalse(tfalse)0.1emfalse(i=1,2,3false)$$ {G}_i(t)\kern0.1em \left(i=1,2,3\right) $$ in front of the control signals are compensated for by the Nussbaum function.…”
Section: Controller Designmentioning
confidence: 99%
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