Adaptive fixed-time fault-tolerant control of saturated MIMO nonlinear systems with time-varying state constrains

Fang, Xinpeng; Fan, Huijin; Liu, Lei; Wang, Bo

doi:10.1007/s11071-022-07784-x

Cited by 16 publications

(8 citation statements)

References 54 publications

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“…where b n = b n−1 + 2ω n + 1 2 a 2 n + 1 2 ε 2 n + 1 2 a 2 + 1 2 δ. Theorem 1: For the nonlinear systems (1) with actuator faults and external fault, when the virtual control signal (26), (42), the actual control (62) and the adaptive laws (27), (43), (66) and (67) are adopted. By designing appropriate parameters, all signals defined in this closed-loop systems maintain bounded and z 1 will converge to a predefined accuracy λ within a predefined time 2T c .…”

Section: Fuzzy Logic Systemmentioning

confidence: 99%

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

Su,

Jiang,

Tong

et al. 2023

Preprint

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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.

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Section: Fuzzy Logic Systemmentioning

confidence: 99%

“…To solve this problem, experts have presented the fixed-time stability theory [39]. After this, many significant achievements have been achieved [40][41][42][43][44]. In [45], an adaptive fixed-time fault-tolerant controller is presented for uncertain stochastic nonlinear systems with actuator and sensor faults.…”

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

show abstract

“…To solve this problem, experts have presented the fixed-time stability theory in [40]. After this, many significant milestones have been achieved [41][42][43][44][45]. In [46], an adaptive fixed-time fault-tolerant controller was presented for uncertain stochastic nonlinear systems with actuator and sensor faults.…”

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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“…Moreover, for the limitations of the components and the requirement of security in an actual application, the constraints issue is vital in the controller design process [15]. To address the various violations of the constraints issue, many resultful methods have been constructed, such as the log-barrier Lyapunov function [16][17][18][19][20] and tangent-type function [21][22][23][24]. To ensure the state constraints of fractional order uncertain strict-feedback systems, an adaptive controller was proposed by introducing log-barrier Lyapunov function in [15].…”

Section: Introductionmentioning

confidence: 99%

Guaranteed Performance Event-Triggered Adaptive Consensus Control for Multiagent Systems under Time-Varying Actuator Faults

Chen,

Gu,

Lin

et al. 2024

Mathematics

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A guaranteed performance event-triggered adaptive consensus control is established for uncertain multiagent systems under time-varying actuator faults. To eliminate the impact caused by actuator faults, an adaptive neural network compensation strategy is developed. Simultaneously, by implementing the asymmetric barrier Lyapunov function and transform function, a prescribed time consensus control with guaranteed performance, is constructed. Furthermore, to reduce the frequency of information transmission, an adjustable switching event-triggered control (ASETC) is proposed by using a modified hyperbolic tangent function. It combines the advantage of the relative threshold strategies and the characteristics of the hyperbolic tangent function, giving better flexibility in saving network resources and guaranteeing system performance. By applying the constructed control method, systems with prescribed performance consensus in a prescribed time are achievable while limited network resources and unknown time-varying faults are present. Some simulation examples implemented in MATLAB (R2022a) are given to demonstrate the above results.

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Adaptive fixed-time fault-tolerant control of saturated MIMO nonlinear systems with time-varying state constrains

Cited by 16 publications

References 54 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

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

Guaranteed Performance Event-Triggered Adaptive Consensus Control for Multiagent Systems under Time-Varying Actuator Faults

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