The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults
Abstract
This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback nonlinear systems with the actuator faults. The functional relationship in the affine form between the nonlinear functions with whole state and error variables is established by using the structure consistency of intermediate control signals and the variable-partition technique. The fuzzy control and adaptive backstepping schemes are applied to construct an improved fault-tolerant controller without requiring the specific knowledge of control gains and actuator faults, including both stuck constant value and loss of effectiveness. The proposed fault-tolerant controller ensures that all signals in the closed-loop system are semiglobally practically finite-time stable and the tracking error remains in a small neighborhood of the origin after a finite period of time. The developed control method is verified through two numerical examples.
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In the citing paper
“Lemma 3 [39] For constants k > 0, b > 0, c > 0, and variables and ω, one has | | k |ω| b ≤ k k + b c| | k+b + b k + b c -k b |ω| k+b (2.17)”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [39]
In the citing paper
“This work overcomes the prevailing limitations associated with convergence time dependence on initial states in [38,39] by devising a fixed-time controller.”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [39]
In the citing paper
“Additionally, a significant limitation of traditional adaptive finite-time control methods is their dependency on initial conditions, which makes it difficult to predict the settling time in advance.”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [39]
In the citing paper
“The information displayed in Table 1 shows an enhancement in the effectiveness of the proposed fixed-time control scheme compared to the finite-time control strategy discussed in [39].”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [39]
Citations
Cites
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Continuous finite-time control for robotic manipulators with terminal sliding mode
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Continuous finite-time stabilization of the translational and rotational double integrators
Bhat, S. P., & Bernstein, D. S. (1998) · IEEE Transactions on Automatic Control · doi:10.1109/9.668834 · Cited by 1,713
Global finite-time stabilization of a class of uncertain nonlinear systems
Huang, X., Lin, W. T., & Yang, B. (2005) · Automatica · doi:10.1016/j.automatica.2004.11.036 · Cited by 1,265
A Robust Adaptive Nonlinear Control Design
Polycarpou, M., & Ioannou, P. A. (1993) · American Control Conference · doi:10.1016/0005-1098(95)00147-6 · Cited by 1,173
Stable Adaptive Neural Network Control
Ge, S. S., Hang, C. C., Lee, T. H., & Zhang, T. (2002) · Springer eBooks · doi:10.1007/978-1-4757-6577-9 · Cited by 1,151
Qian, C., & Lin, W. T. (2001) · Systems & Control Letters · doi:10.1016/s0167-6911(00)00089-x · Cited by 1,013
Liu, Y., & Tong, S. (2016) · Automatica · doi:10.1016/j.automatica.2016.10.011 · Cited by 831
Direct adaptive fuzzy control of nonlinear strict-feedback systems
Chen, B., Liu, X., Liu, K., & Lin, C. (2009) · Automatica · doi:10.1016/j.automatica.2009.02.025 · Cited by 707
Self-citationSHORT-TIME STABILITY IN LINEAR TIME-VARYING SYSTEMS
Dorato, P. (1961) · Cited by 661
Cited by
Sorted by citations
Li, Y., Qu, F., & Tong, S. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2970454 · Cited by 448
Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
Chen, M., Wang, H., & Liu, X. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2959972 · Cited by 405
Self-citationAdaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems
Li, Y., Yang, T., & Tong, S. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2955438 · Cited by 381
Adaptive Finite-Time Tracking Control of Nonlinear Systems With Dynamics Uncertainties
Wang, H., Xu, K., & Zhang, H. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3226703 · Cited by 342
Self-citationZhang, H., Liu, Y., & Wang, Y. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2984791 · Cited by 289
Metadata
- Authors
- Wang, H., Liu, P. X., Zhao, X., & Liu, X.
- Affiliations
- Bohai University (CN)
- Carleton University (CA)
- Dalian University of Technology (CN)
- Lakehead University (CA)
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2020-05
- Volume
- 50
- Issue
- 5
- Pages
- 1786-1797
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2944466752
- Cited by
- 345
- References
- 64
- Citations by year
- 2026: 26 · 2025: 35 · 2024: 39 · 2023: 40 · 2022: 45 · 2021: 48 · 2020: 75
- FWCI
- 28.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (61773072, 61773051, 61761166011)
- Innovative Talents Project of Liaoning Province of China (LR2016040)
- Natural Science Foundation of Liaoning Province of China (20180550691, 20180550590)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- actuator faults, fault-tolerant control, nonstrict-feedback nonlinear systems, trajectory tracking control, adaptive fuzzy control, adaptive backstepping control, finite-time stability, loss of effectiveness faults
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