Adaptive Fault-Tolerant Tracking Control for Discrete-Time Nonstrict-Feedback Nonlinear Systems With Stochastic Noises

Jia, Fanlin; He, Xiao

doi:10.1109/tase.2023.3278978

Cited by 9 publications

(3 citation statements)

References 56 publications

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“…In fact, for practical control systems, actuator components are prone to malfunctions, which can affect the performance of the system, such as the ship autopilot [16], the one-link manipulator [17], the linear motor systems [18], etc. In order to solve this difficulty, experts have proposed many fault-tolerant control schemes [19][20][21][22][23][24]. An adaptive fault-tolerant control method for nonlinear systems with unmodeled dynamics and unknown control directions was proposed in [25].…”

Section: Introductionmentioning

confidence: 99%

Predefined Time and Accuracy Adaptive Fault-Tolerant Control for Nonlinear Systems with Multiple Faults

Su,

Jiang,

Tong

et al. 2024

Actuators

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This work mainly studies the issue of predefined time and accuracy adaptive fault-tolerant control for strict-feedback nonlinear systems with multiple faults. The faults in the controlled system include actuator faults and external system faults. The unknown functions for nonlinear systems are approximated by fuzzy logic systems (FLSs). And then, according to the backstepping technique and the predefined time stability theory, an adaptive fuzzy control algorithm is presented, which can make sure that all closed-loop system signals remain predefined time bound and the tracking error converges to a predefined accuracy within the predefined time. Ultimately, the effectiveness of the presented control algorithm is proved through two simulation examples.

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Section: Introductionmentioning

confidence: 99%

Predefined Time and Accuracy Adaptive Fault-Tolerant Control for Nonlinear Systems with Multiple Faults

Su,

Jiang,

Tong

et al. 2024

Actuators

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show abstract

“…In practical engineering applications, systems and sensors are usually inevitably affected by disturbance and noise [11,12,15,30,35]. Noise may be caused by unforeseen operating conditions or component performance, such as nonlinear drifts and failures of electronic components.…”

Section: Introductionmentioning

confidence: 99%

Neural network-based fault diagnosis and fault-tolerant control for nonlinear systems with output measurement noise

Shen,

Ma,

Zhao

et al. 2024

Kybernetika

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In this article, the problems of fault diagnosis (FD) and fault-tolerant control (FTC) are investigated for a class of nonlinear systems with output measurement noise. Due to the influence of measurement noise in the output sensor, the output observation error cannot be accurately obtained, which causes obstacles to the accuracy of FD. To address this issue, an output filter and disturbance estimator are constructed to decrease the negative effects of measurement noise and observer gain disturbances, and a novel non-fragile neural observer is designed to estimate the unknown states. A new evaluation function is also introduced to detect faults. Then, a novel neural FTC controller is proposed in the presence of faults, to ensure that all the closed-loop system signals are semiglobally uniformly ultimately bounded (SGUUB). The effectiveness of the proposed methodology is verified via numerical simulation of a one-link robot system.

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“…In fact, during the operation of practical application systems, actuator components are prone to malfunctions, which can affect the performance of the system, such as the ship autopilot [16], the one-link manipulato [17], the linear motor systems [18], etc. In order to solve this difficulty, experts have proposed many faulttolerant control schemes [19][20][21][22][23][24]. An adaptive fault tolerant control method for nonlinear systems with unmodeled dynamics and unknown control directions is proposed in the paper [25].…”

Section: Introductionmentioning

confidence: 99%

Predefined time and accuracy adaptive fault-tolerant control for nonlinear systems with multiple faults

Su,

Jiang,

Tong

et al. 2023

Preprint

View full text Add to dashboard Cite

This work mainly studies the issue of predefined time and accuracy adaptive fault-tolerant control for nonlinear systems with multiple faults. The faults in the control system include actuator faults and external system faults. The unknown function parts for nonlinear systems are approximated by fuzzy logic system (FLS). And then, according to the backstepping technique and the predefined time stability theory, an adaptive fuzzy control algorithm is presented, which can make sure that all closed-loop system signals remain bounded within a predefined time and the tracking error converges to a predefined accuracy within the predefined time. Ultimately, the effectiveness of the presented control algorithm is proved through a simulation example.

show abstract

Adaptive Fault-Tolerant Tracking Control for Discrete-Time Nonstrict-Feedback Nonlinear Systems With Stochastic Noises

Cited by 9 publications

References 56 publications

Predefined Time and Accuracy Adaptive Fault-Tolerant Control for Nonlinear Systems with Multiple Faults

Predefined Time and Accuracy Adaptive Fault-Tolerant Control for Nonlinear Systems with Multiple Faults

Neural network-based fault diagnosis and fault-tolerant control for nonlinear systems with output measurement noise

Predefined time and accuracy adaptive fault-tolerant control for nonlinear systems with multiple faults

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