2023
DOI: 10.1109/tfuzz.2023.3247693
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Adaptive Fuzzy Fault Tolerant Control for Robot Manipulators With Fixed-Time Convergence

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Cited by 13 publications
(14 citation statements)
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“…Remark 3. From (28), one knows that the bound of final consensus error is mainly governed by parameters đ›Ÿ 5 , đ›Ÿ 6 and , whose detailed expressions can be found in (27). More specifically, three parameters đ›Ÿ 5 , đ›Ÿ 6 and  are mostly affected by control gains and physical system parameters 𝜌 u , c 1 and a i , that is, final consensus error can be reduced by adjusting control gains.…”
Section: Stability Analysismentioning
confidence: 99%
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“…Remark 3. From (28), one knows that the bound of final consensus error is mainly governed by parameters đ›Ÿ 5 , đ›Ÿ 6 and , whose detailed expressions can be found in (27). More specifically, three parameters đ›Ÿ 5 , đ›Ÿ 6 and  are mostly affected by control gains and physical system parameters 𝜌 u , c 1 and a i , that is, final consensus error can be reduced by adjusting control gains.…”
Section: Stability Analysismentioning
confidence: 99%
“…[24][25][26] Adaptive fault-tolerant control schemes with fixed-time convergence for single Euler-Lagrange system have been proposed. 27,28 For multiple Euler-Lagrange systems (MELSs), several kinds of fixed-time coordination control algorithms were presented for leader-followers or leaderless consensus problem. 29,30 In view of actuator faults, the authors in Reference 31 proposed the fixed-time fault-tolerant consensus algorithms for MELSs subject to model uncertainties, with the requirement of bounds of faults.…”
Section: Introductionmentioning
confidence: 99%
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