2020
DOI: 10.1016/j.ins.2020.05.008
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Event-triggered finite-time adaptive neural control for nonlinear non-strict-feedback time-delay systems with disturbances

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Cited by 42 publications
(19 citation statements)
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“…The non-strict feedback system in (1) is usually applied to the study of adaptive control, such as in [31][32][33] . The single-link manipulator in [34][35][36][37] can be expressed in the form of the system.…”
Section: System Descriptionmentioning
confidence: 99%
See 1 more Smart Citation
“…The non-strict feedback system in (1) is usually applied to the study of adaptive control, such as in [31][32][33] . The single-link manipulator in [34][35][36][37] can be expressed in the form of the system.…”
Section: System Descriptionmentioning
confidence: 99%
“…Therefore, in the simulation design of this section, the system model of single-link manipulator in [35][36][37] is adopted, the adaptive fuzzy controller designed in this paper is applied to the control of single-link manipulator, and the time-varying asymmetric constraint interval is designed to restrict the rotation angle, rotation speed and torque of single-link manipulator.…”
Section: Example 2: Application Examplementioning
confidence: 99%
“…Remark 4: In order to apply backstepping method to the design of controller for non-strict feedback nonlinear system, the control method proposed removes the restriction that the absolute value of the unknown function needs to meet the linear growth in [36,37], which makes the proposed control scheme more widely used.…”
Section: /17mentioning
confidence: 99%
“…On the basis of the sliding mode control theory, these two control approaches can guarantee a fast convergence rate while the rejection for the external disturbance or system modeling uncertainty is also realized simultaneously. An event‐triggered finite‐time controller is provided in Reference 6 while the communication burden is reduced. To attenuate the impact caused by the external disturbance and actuator fault, Reference 7 proposed a terminal sliding mode control strategy to improve the tracking precision.…”
Section: Introductionmentioning
confidence: 99%