Nonsingular Fixed-Time Fault-Tolerant Fuzzy Control for Switched Uncertain Nonlinear Systems

Cui, Di; Xiang, Zhengrong

doi:10.1109/tfuzz.2022.3184048

Cited by 119 publications

(50 citation statements)

References 44 publications

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“…Nevertheless, the traditional fixed‐time TSMC still has two main disadvantages. One is its slow convergence rate, and the other is the singularity problem 16,17 . To improve the convergence rate of the system state and suppress chaotic oscillation, a fast convergence system is applied in power systems 18 .…”

Section: Introductionmentioning

confidence: 99%

“…One is its slow convergence rate, and the other is the singularity problem. 16,17 To improve the convergence rate of the system state and suppress chaotic oscillation, a fast convergence system is applied in power systems. 18 In order to improve the convergence rate and avoid the singularity, Sai et al 19 design an adaptive fixed-time sliding mode controller for a robotic manipulator.…”

Section: Introductionmentioning

confidence: 99%

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Fixed time robust control for tower cranes with unmatched disturbances and input saturation

Hong

et al. 2023

Adaptive Control & Signal

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To address the challenging problem of fixed-time anti-sway and positioning control for tower cranes with uncertain disturbances and input saturation, a novel fixed-time anti-saturation robust algorithm is proposed. First, on the basis of a newly designed fixed-time convergence system, a fixed-time disturbance observer (FTDO) is developed to estimate the matched and unmatched disturbances. Then, an anti-saturation compensator is employed to deal with the input saturation and make the control input leave the saturated region rapidly. Upon which, a novel non-singular fast terminal sliding mode surface is presented. Furthermore, in order to ensure the stability of each subsystem, a hierarchical sliding mode surface taking into account unmatched disturbances and input saturation is designed. Finally, the FTDO based hierarchical sliding mode control law is introduced to improve the transient control performance and robustness of tower cranes. The fixed-time convergence of the closed-loop system is proved by Lyapunov technique. Numerical simulations for four scenarios demonstrate the validity of the presented control scheme and fastest convergence speed in comparison to the recently proposed fixed-time control methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fixed time robust control for tower cranes with unmatched disturbances and input saturation

Hong

et al. 2023

Adaptive Control & Signal

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“…14,15 Compared with the open-loop systems, the closed-loop systems (i.e., feedback systems) have stronger anti-interference ability, and can improve the response characteristics of the systems. 16,17 Thus, the identification and modeling of feedback nonlinear systems (i.e., feedback nonlinear systems) are meaningful. 18 For example, Hu et al offered a two-stage recursive least squares algorithm for feedback nonlinear systems based on the auxiliary model identification idea and the hierarchical identification principle.…”

Section: Introductionmentioning

confidence: 99%

“…For the past several decades, a dozen of studies have been conducted on the identification methods for open‐loop nonlinear systems 14,15 . Compared with the open‐loop systems, the closed‐loop systems (i.e., feedback systems) have stronger anti‐interference ability, and can improve the response characteristics of the systems 16,17 . Thus, the identification and modeling of feedback nonlinear systems (i.e., feedback nonlinear systems) are meaningful 18 .…”

Section: Introductionmentioning

confidence: 99%

Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique

Yang

Ding

2023

Intl J Robust & Nonlinear

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This paper studies the parameter estimation problems of feedback nonlinear systems. Combining the multi-innovation identification theory with the negative gradient search, we derive a multi-innovation gradient-based iterative algorithm. In order to reduce the computational burden and further improve the parameter estimation accuracy, a decomposition multi-innovation gradient-based iterative algorithm is proposed by using the decomposition technique. The key is to transform an original system into two subsystems and to estimate the parameters of each subsystem, respectively. A simulation example is provided to demonstrate the effectiveness of the proposed algorithms.

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“…[1][2][3][4][5][6][7][8][9] For example, by merging the adaptive neural control 10 and decentralized control method, 1 an adaptive neural decentralized control strategy was proposed, 9 in which the neural network (NN) was applied to approximate the unknown nonlinear function. On the other hand, as a typical hybrid dynamic system, [11][12][13][14][15][16][17][18][19][20][21] switched system which includes multiple subsystems and switching laws, is able to simulate more practical systems than the non-switched system. Given the combination of nonlinear characteristics and large-scale systems framework, many researchers have invested in studying switched nonlinear large-scale systems and many remarkable research results have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault‐tolerant decentralized tracking control of switched stochastic uncertain nonlinear systems with time‐varying delay

Cui

Zou

Guo

et al. 2022

Adaptive Control & Signal

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In this article, an adaptive neural fault-tolerant decentralized tracking control problem is investigated for switched stochastic large-scale uncertain nonlinear systems, in which time-varying delay and unknown control coefficient are under consideration. By incorporating the quadratic Lyapunov function and Lyapunov Krasovskii function into the backstepping approach, an adaptive neural fault-tolerant decentralized control strategy is proposed, which ensures that signals in the closed-loop system are stable in probability and the tracking error converges to a small neighborhood of the origin under arbitrary switching. At last, to verify the presented strategy is feasible, a simulation example is given.

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Nonsingular Fixed-Time Fault-Tolerant Fuzzy Control for Switched Uncertain Nonlinear Systems

Cited by 119 publications

References 44 publications

Fixed time robust control for tower cranes with unmatched disturbances and input saturation

Fixed time robust control for tower cranes with unmatched disturbances and input saturation

Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique

Adaptive fault‐tolerant decentralized tracking control of switched stochastic uncertain nonlinear systems with time‐varying delay

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