2023
DOI: 10.1016/j.isatra.2022.08.019
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Fault-tolerant control design for unreliable networked control systems via constrained model predictive control

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Cited by 8 publications
(4 citation statements)
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“…0 0 0 0.7 0 0 0 0 0 0 0.2 0 0 0 0 0 0 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 In this section, a comparison is made with the FTC method based on model predictive control proposed in [38], where the response curves for time lag response, actuator faults F(t), and sensor faults S(t) are represented by Figures 3, 4, and 5, respectively.…”
Section: Analysis Of Simulationmentioning
confidence: 99%
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“…0 0 0 0.7 0 0 0 0 0 0 0.2 0 0 0 0 0 0 0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 In this section, a comparison is made with the FTC method based on model predictive control proposed in [38], where the response curves for time lag response, actuator faults F(t), and sensor faults S(t) are represented by Figures 3, 4, and 5, respectively.…”
Section: Analysis Of Simulationmentioning
confidence: 99%
“…From the figures, it is clear that the method proposed in this paper can ensure the rapid convergence of the state of the six-rotor UAV while having a high smooth flight capability. Although the method proposed in [38] can make attitude angles φ and θ reach the equilibrium point faster, the state response curves of the method proposed in this paper are smoother and have fewer state mutations compared to the state response curves of the method proposed in [38] under the same simulation environment, that is, the method proposed in this paper can make the six-rotor UAV containing uncertainties and environmental disturbances have higher robustness and better FTC effects in the event of actuator faults, sensor faults, and actuator NAFs, and enable the six-rotor UAV to have a smoother flight state after the occurrence of the faults.…”
Section: Analysis Of Simulationmentioning
confidence: 99%
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