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Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
Abstract
This article investigates an adaptive practical fixed-time control strategy for the output tracking control of a class of strict feedback nonlinear systems. By utilizing a backstepping algorithm, finite-time Lyapunov stable theory, and fuzzy logic control, a novel adaptive practical fixed-time controller is constructed. Fuzzy logic systems are introduced to approximate the unknown items of the system. Theoretical analysis proves that under the presented control strategy, the closed-loop system is practically fixed-time stable, and the tracking error converges to a small neighborhood of the origin within a fixed-time interval, in which the convergence time has no connection with the initial states of the system. In the meantime, all the signals of the closed-loop system are bounded. Finally, a numerical example is presented to indicate the feasibility and effectiveness of the proposed method.
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“The advent of fixed-time control methods offers a viable approach to address the issue of swift convergence without relying on knowledge of the initial states [41][42][43].”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [41]
Citations
Cites
Finite-Time Stability of Continuous Autonomous Systems
Bhat, S. P., & Bernstein, D. S. (2000) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012997321358 · Cited by 5,532
Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
Polyakov, A. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2179869 · Cited by 5,248
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
Wang, L.-X., & Mendel, J. M. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159070 · Cited by 2,804
Nonsingular fixed-time consensus tracking for second-order multi-agent networks
Zuo, Z. (2015) · Automatica · doi:10.1016/j.automatica.2015.01.021 · Cited by 1,155
Attitude stabilization of rigid spacecraft with finite‐time convergence
Zhu, Z. H., Xia, Y., & Fu, M. (2010) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1624 · Cited by 1,007
Finite-time and fixed-time stabilization: Implicit Lyapunov function approach
Polyakov, A., Efimov, D. V., & Perruquetti, W. (2014) · Automatica · doi:10.1016/j.automatica.2014.10.082 · Cited by 976
Liu, Y., & Tong, S. (2015) · Automatica · doi:10.1016/j.automatica.2015.10.034 · Cited by 885
Finite-Time Attitude Tracking Control of Spacecraft With Application to Attitude Synchronization
Du, H., Li, S., & Qian, C. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2159419 · Cited by 763
Jin, X. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2874877 · Cited by 712
Non‐singular fixed‐time terminal sliding mode control of non‐linear systems
Zuo, Z. (2014) · IET Control Theory and Applications · doi:10.1049/iet-cta.2014.0202 · Cited by 560
Fixed-Time Attitude Control for Rigid Spacecraft With Actuator Saturation and Faults
Jiang, B., Hu, Q., & Friswell, M. I. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2519838 · Cited by 538
Adaptive finite-time control of nonlinear systems with parametric uncertainty
Hong, Y., Wang, J., & Cheng, D. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2006.875006 · Cited by 519
Finite-time control of discrete-time linear systems
Amato, F., & Ariola, M. (2005) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.847042 · Cited by 462
Robust backstepping control of nonlinear systems using neural networks
Kwan, C., & Lewis, F. L. (2000) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.895898 · Cited by 462
Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems
Wang, C., & Lin, Y. (2015) · Automatica · doi:10.1016/j.automatica.2015.01.041 · Cited by 399
Adaptive Fuzzy Finite-Time Control of Nonlinear Systems With Actuator Faults
Wang, H., Liu, P. X., Zhao, X., & Liu, X. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2902868 · Cited by 345
Self-citationWang, H., Liu, K., Liu, X., Chen, B., & Lin, C. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2363073 · Cited by 324
Self-citationAdaptive Backstepping Control of an Electrohydraulic Actuator
Ahn, K. K., Nam, D. N. C., & Jin, M. (2013) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2265312 · Cited by 324
Zhao, X., Wang, X., Ma, L., & Zong, G. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2912138 · Cited by 314
Wang, H., Liu, X., Liu, K., & Karimi, H. R. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2014.2375917 · Cited by 282
Self-citationLi, T., Li, Z., Wang, D., & Chen, C. L. P. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2334638 · Cited by 256
Distributed finite-time velocity-free attitude coordination control for spacecraft formations
Zou, A., de Ruiter, A. H. J., & Kumar, K. D. (2016) · Automatica · doi:10.1016/j.automatica.2015.12.029 · Cited by 252
Fuzzy-Based Multierror Constraint Control for Switched Nonlinear Systems and Its Applications
Liu, L., Liu, Y., & Tong, S. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2018.2882173 · Cited by 233
Robust Adaptive Neural Tracking Control for a Class of Stochastic Nonlinear Interconnected Systems
Wang, H., Liu, X., & Liu, K. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2412035 · Cited by 230
Self-citationWang, H., Liu, P. X., Bao, J., Xie, X., & Li, S. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2912082 · Cited by 223
Self-citationAdaptive Neural Backstepping Control Design for A Class of Nonsmooth Nonlinear Systems
Zhao, X., Wang, X., Zhang, S., & Zong, G. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2875947 · Cited by 208
Finite-Time Output Feedback Attitude Tracking Control for Rigid Spacecraft
Zou, A. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2246836 · Cited by 201
Li, Y., Tong, S., & Li, T. (2012) · Nonlinear Analysis Real World Applications · doi:10.1016/j.nonrwa.2012.07.010 · Cited by 173
Nonlinear sliding-mode torque control with adaptive backstepping approach for induction motor drive
Shieh, H., & Shyu, K. (1999) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.753777 · Cited by 167
Neural Observer and Adaptive Neural Control Design for a Class of Nonlinear Systems
Chen, B., Zhang, H., Liu, X., & Lin, C. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2760903 · Cited by 162
Self-citationLi, Z., Li, T., Feng, G., Zhao, R., & Shan, Q. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2872421 · Cited by 137
Adaptive Finite-Time Fuzzy Funnel Control for Nonaffine Nonlinear Systems
Liu, C., Wang, H., Liu, X., & Zhou, Y. (2019) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2019.2917547 · Cited by 100
Self-citationStabilization of Rössler chaotic dynamical system using fuzzy logic control algorithm
Precup, R., Tomescu, M. L., & Bojan‐Dragos, C. (2014) · International Journal of General Systems · doi:10.1080/03081079.2014.893299 · Cited by 81
A robust fuzzy adaptive law for evolving control systems
Blažič, S., Škrjanc, I., & Matko, D. (2013) · Evolving Systems · doi:10.1007/s12530-013-9084-7 · Cited by 67
Meda-Campaña, J. A., Meza, A. G., Rubio, J. D. J., Tapia-Herrera, R., Hernández-Cortés, T., Curtidor-Lopez, A. V., Paramo, L. A., & Cázares-Ramírez, I. (2017) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2786244 · Cited by 43
Heidarinejad, M., Liu, J., & Christofides, P. D. (2013) · Journal of Process Control · doi:10.1016/j.jprocont.2012.11.003 · Cited by 33
Adaptive finite-time dynamic surface tracking control of nonaffine nonlinear systems with dead zone
Chen, M., Wang, H., Liu, X., Hayat, T., & Alsaadi, F. E. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.07.027 · Cited by 21
Self-citationChen, M., Wang, H., Li, X., & Liu, X. (2019) · Advances in Mechanical Engineering · doi:10.1177/1687814019845464 · Cited by 4
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Adaptive Fuzzy Control of Nonlinear Systems With Predefined Time and Accuracy
Wang, Q., Cao, J., & Liu, H. (2022) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2022.3169852 · Cited by 313
“Consequently, it is essential and significant to investigate the control problem of system (6) to get a fascinating control performance, which has been investigated in [45] and [46]; however, only the fixed time stability was considered.”
BackgroundWang, H., Xu, K. W., & Qiu, J. (2021) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2021.3073024 · Cited by 284
“In [48], [49], two practical fixed-time control approaches were presented for nonlinear uncertain systems.”
BackgroundSelf-citationAdaptive Fixed-Time Stabilization for a Class of Uncertain Nonlinear Systems
Meng, Q., Ma, Q., & Shi, Y. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2023.3244151 · Cited by 195
“…the adaptive backstepping technique, fixed-time control of uncertain nonlinear systems has attracted much attention, such as systems with parameteric uncertainty [15], systems with unknown controldirection[16]and[17],systemscontaininginputsaturation[18], error-constrainedsystems[19],justtonameafew.”
MethodXie, S., Chen, Q., & Yang, Q. (2022) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2022.3223253 · Cited by 166
“Owing to this merit, scholars have applied fixed-time control to various nonlinear systems [12], [13], [14], [15], [16], [17], [18], [19], [20].”
BackgroundAdaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems
Wang, H., Xu, K. W., Liu, P. X., & Qiao, J. (2021) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2021.3098830 · Cited by 160
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Metadata
- Authors
- Chen, M., Wang, H., & Liu, X.
- Affiliations
- University of Science and Technology Liaoning (CN)
- Bohai University (CN)
- Lakehead University (CA)
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2021-03
- Volume
- 29
- Issue
- 3
- Pages
- 664-673
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2995874545
- Cited by
- 405
- References
- 38
- Citations by year
- 2026: 35 · 2025: 77 · 2024: 65 · 2023: 86 · 2022: 65 · 2021: 66
- FWCI
- 19.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Fuzzy Systems (publishedVersion)
- Funders
- National Natural Science Foundation of China (61403177, 61773072)
- Natural Science Foundation of Liaoning Province (20180550319)
- Education Department Project of Liaoning Province of China (2019LNJC09)
- Taishan Scholar Project of Shandong Province of China (tsqn201812093)
- 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 › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Keywords
- output tracking control, strict-feedback nonlinear systems, adaptive control, fuzzy systems, backstepping control, finite-time Lyapunov stability, signal boundedness
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