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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]
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Adaptive Fuzzy Fault-Tolerant Fixed-Time Control for Nonlinear Systems with Full-State Constraints
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Yang, J.-Z., Li, Y., & Tong, S. (2023) · Journal of Systems Science and Complexity · doi:10.1007/s11424-023-2167-z · Cited by 2
“Remark 2.1 Although a number of fixed-time control schemes have been examined [31 − 37] , the considered systems were linear or strict-feedback nonlinear systems.”
BackgroundInfluentialAdaptive Practical Fixed-Time Control for a Class of Nonlinear Systems with Input Saturation
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BackgroundDynamic logarithmic state and control quantization for continuous-time linear systems
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“[14] and [15] deal with tracking control and fault tolerant control for systems containing nonlinearities successfully, to avoid introduction of nonlinear elements such as saturation into the system is still a smart approach to tackle control problems in complex systems.”
BackgroundAdaptive Fixed-time Fuzzy Tracking Control of Uncertain Robot
Zhou, B., Zhu, C., & Jiang, Y. (2022) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac55051.2022.9911087 · Cited by 1
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“Reference [17] proposed a fixed-time formation control algorithm for MAS with dynamic uncertainty.”
BackgroundMethodInfluentialAdaptive Fault-Tolerant Attitude Control for Rigid Spacecraft With Disturbances and Uncertainties
Xie, X. G., Sheng, T., Zhang, Y., Wang, J., & Chen, X. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10452054 · Cited by 1
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Estimation-based event-triggered fixed-time fuzzy tracking control for high-order nonlinear systems
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Adaptive Fixed‐Time Control for Switched Nonlinear Systems With Actuator Faults
Liu, S., Zhang, H., & Pang, H. (2025) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3971 · Cited by 1
“In [27–29], practical fixed-time control problems were addressed for uncertain non-linear systems using adaptive fuzzy control method.”
InfluentialLiu, S., Zuo, Y., Xiao, Y., Wang, H., & Li, T. (2025) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3996 · Cited by 1
“Compared with [13, 25], the using of the function 𝑡𝑎𝑛ℎ effectively simplifies the control scheme.”
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Liu, J., Han, H., Ma, Y., & Yan, M. (2025) · Mathematics · doi:10.3390/math13101639 · Cited by 1
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“Lemma 1 (see [4] and [20]) Consider the system dynamics as where x ∈ R n indicates the state signal, f ( x ) : R n ∈ R n represents a smooth system function.”
Self-citationJia, L., Chen, R., & Qi, J.-F. F. D. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-025-11361-3 · Cited by 1
“Some researchers modify the intelligent controlling algorithms and introduce them into the nonlinear or dynamical system [15–17].”
Wang, C., Zhao, W., Lv, S., & Shen, H. (2025) · Applied Mathematics and Computation · doi:10.1016/j.amc.2025.129616 · Cited by 1
Fixed-Time Control for Uncertain Nonlinear Systems with Unknown Sensor Sensitivities
Meng, Q., Ma, Q., & Xu, S. (2025) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc65474.2025.11091226 · Cited by 1
Nie, L., Yu, Y., Zhou, M., Zhang, X., & Su, C. (2025) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2025.3601156 · Cited by 1
“Compared with BLF [11], [12], [13], [14], [15] or fixed/finite-time [16], [17], [18] controllers, HEAFC takes into account both constraint and performance adjustment problems.”
Liu, Y., Hu, Z. S., Zhang, C., Zhang, Y., & Hua, C. (2025) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta65681.2025.11139061 · Cited by 1
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Self-citationKharrat, M., Alhazmi, H., Mhemdi, A., & Gargouri, A. (2026) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.70036 · Cited by 2
“To further enhance the approximation capabilities of adaptive controllers in the presence of unknown nonlinear functions, intelligent function approximators such as neural networks (NNs) and fuzzy logic systems (FLSs) have been incorporated into adaptive frameworks [13–15].”
Time-Sequential-Synchronized Control for Euler–Lagrange Systems via Fuzzy Approximation
Pan, B., Hu, Q., & Li, D. (2026) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2026.3662052 · Cited by 1
“By integrating FLS approximators with fixed-time stability theory, a variety of adaptive fuzzy controllers have been developed for uncertain nonlinear systems, including underactuated mechanical systems, strict-feedback structures, and constrained tracking problems [26], [27], [28], [29], [30].”
Lu, L., Liu, W., Zhang, D., & Cheng, J. (2026) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.70456 · Cited by 1
“Additionally, numerous fixed-time adaptive fuzzy control approaches were proposed [33, 34], guaranteeing the faster convergence of robotic manipulator systems.”
An, K., Huang, W., & Liu, S. (2026) · Journal of Zhejiang University. Science A · doi:10.1631/jzus.a2500172 · Cited by 1
Zhou, W., Chen, Z., Wang, Y., Yang, Y., & Zhang, Y. (2026) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2026.3675856 · Cited by 1
“…that its derivative ˙ V ( x ) ≤ − α V ( x ) + β, α > 0 , β > 0 , (3) then the origin of the system is globally uniformly ultimately bounded (GUUB), and the following inequality holds Lemma 3 [34]: For any variables z 1 ∈ R and z 2 ∈ R , the following inequality holds where α > 0, β > 0, and ρ > 0.”
Nonsingular fixed-time fuzzy adaptive control via auxiliary reduced-power function method
Wu, L., Liu, X., Liu, C.-G., Wang, H., & Huang, S. (2026) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2026.110037 · Cited by 1
Self-citationSong, X., Zeng, Y., Ahn, C. K., Shi, H. H., Song, S., & Wu, Q. (2026) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2026.3704813 · Cited by 1
Zhou, X., Cao, L., & Liang, H. (2023) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/cfasta57821.2023.10243296 · Cited by 1
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Wu, C., & Song, S. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-8021-5_5 · Cited by 1
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“Compared with practical finite-time/fixed-time stability (Chen et al., 2021; Liu et al., 2021b; Zhu et al., 2011), PPTS has some advantages, such as the convergent region is independent of the initial conditions and can be set by user, and the settling time can also be specified by the user…”
Liu, J., & Du, J. (2023) · Intelligent Autonomous Systems · doi:10.1109/icoias61634.2023.00039 · Cited by 1
“For arbitrary ω > 0 and ∂ ∈ R , the following inequality holds Lemma 3: [23].”
BackgroundPre-specifiable fixed-time control for quadrotor aircraft with output constraints
Sun, X., Li, Q., Wang, J., & Yao, Q. (2024) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518241280225 · Cited by 1
“In Ref., 20 a finite-time integral sliding mode controller combined with disturbance observer is investigated for the situation of mismatched and matched disturbances for a QUAV.”
InfluentialAdaptive trajectory tracking control of space manipulator with fast fixed-time convergence
Yan, Y., Cui, H., & Han, P. (2024) · International Conference on Optics, Electronics, and Communication Engineering (OECE) · doi:10.1117/12.3049873 · Cited by 1
Adaptive Fixed‐Time Prescribed Performance Synchronization Control for Multi‐Motor Driving Systems
Huang, X. Y., Liu, C., & Shan, L. (2024) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3946 · Cited by 1
“To limit the operational state of the system and improve transient performance, there has been extensive research on constrained control strategies with prescribed performance [23].”
Messaoudi, A., Gassara, H., & Hajjaji, A. E. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/6342604 · Cited by 1
Ding, L., & Sun, W. (2022) · Research Square · doi:10.21203/rs.3.rs-1999880/v1 · Cited by 1
Hao, S., Xue, H., & Cui, J. (2021) · International Conference on Advanced Computational Intelligence (ICACI) · doi:10.1109/icaci52617.2021.9435898
“θ1 (1− θ(2)1)(2)K1 ḡ1 ≤ θ 2 1Θ1P T 1 P1 2c(2)1 [(1− θ(2)1)2K1]2 + 1 2 c(2)1 + θ(2)1 2 [(1− θ(2)1)2K1]2 + 1 2 δ̄(2) 1 , (15)”
Wu, Z., Xu, X., Zhao, Y., Zhang, X., Feng, H., & Zhu, H. (2021) · International Symposium on Linear Drives for Industry Applications (LDIA) · doi:10.1109/ldia49489.2021.9505902
Observer-Based Fuzzy Adaptive Command Filtering Finite-Time Control of Stochastic Nonlinear Systems
Wang, L., Wang, H., & Liu, P. X. (2021) · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · doi:10.1109/spac53836.2021.9539932
Self-citationFuzzy Adaptive Tracking Control for a Class of Uncertain Nonlinear Systems With Input Dead-Zone
Wu, Y., Zhang, G., & Wu, L. (2021) · Chinese Control Conference (CCC) · doi:10.23919/ccc52363.2021.9549614
“As stated in [10], for any ∀ ε > 0 , a continuous function f ( x ) defined on a compact set Ω X , there exists a fuzzy logic system (FLS) θ T ϕ such that T denotes the basis function vector, which will be selected as follows In addition, when the number of fuzzy rules N is large enough, the ideal…”
BackgroundChang, X., Wang, K., Chen, K., & Fu, W. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/9963426
2021 Index IEEE Transactions on Fuzzy Systems Vol. 29
(2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3134727
Ren, L., Wu, J. M., & Liu, J. (2022) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3473
“j=1 rz6 j ||Sj(Xj)|| 2 2bj ) + 1 4 Liz(4) i+1 + Ξi, (47)”
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Self-citationZhou, C., & Wang, Y. (2023) · International Conference on Control, Automation and Robotics (ICCAR) · doi:10.1109/iccar57134.2023.10151755
“However, the convergence time of finite-time control depends on the initial values of system states [11], [12], and meanwhile the convergence time of fixed-time stability also cannot be mission-oriented preassigned, although it is independent of system’s initial states.”
BackgroundFeng, Y., Chen, Y., Wang, M., Wang, E., & Chen, H. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10241108
Prescribed-Time Control for DC-DC Buck Converters
Shi, Y., & Min, H. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10241024
Lu, Y., & Meng, B. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4641396
Adaptive Fixed-Time Neural Tracking Control for Nonlinear Systems with Unknown Disturbances
Zhang, N., Li, C., Yue, H., Liu, X., & Xia, J. (2023) · International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC) · doi:10.1109/csis-iac60628.2023.10363704
“In [14] and [15], adaptive practical fixed-time tracking control algorithms were proposed for nonlinear strict-feedback systems.”
Self-citationGao, D., Zhang, Y. J., Wu, L., & Liu, S. (2024) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2024100
Closed Loop Subspace Identification of a Real Time Non Square MIMO System
Sudhahar, S., & Chidambaram, G. B. (2023) · International Conference on Smart Technologies, Communication and Robotics (STCR) · doi:10.1109/stcr59085.2023.10396913
Zhai, L.-L., Zhu, S., & Han, Y. (2024) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518241233318
A new propulsion system GUI based control amenable model development for high‐power rockets
Prajapati, S., Thakar, P. S., & Markana, A. (2024) · Advanced Control for Applications · doi:10.1002/adc2.204
“Recently, the interesting works as in References 36, 37, 38 also would be fitting control strategies to explore, as they deal the nonlinear models with the dynamic uncertainties using adaptive and adaptive-fuzzy based control methods.”
Zhuo, R., Song, X., Wu, C., Zhang, X., & Song, S. (2024) · International Symposium on Autonomous Systems (ISAS) · doi:10.1109/isas61044.2024.10552557
“…(26) and (27), the derivative of V 2 is Combining (9), (11), (12), (15), (20), and (25), and utilizing Young’s inequality, we can obtain where ¯ κ i, 2 = κ i, 1 According to Lemma 4 in [15], one has Using Lemma 4 in [16], we have where κ i, 2 = ¯ κ i, 2 + 2 (cid:61) r Θ 2+ η i + ¯ r Θ 2 − η i .”
Ge, L., & Li, X. (2024) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls61622.2024.10606882
“Lemma 3: (Chen et al. [7] ) for i , can be obtained: ( ) Lemma 4: For any 0 n L , can be obtained: Lemma 5: (You et al. [17] ) A basic FLS consists of the following four parts: a knowledge base, a fuzzier, a fuzzy inference engine, and a defuzzier.”
BackgroundMultiple Uncertainty Rejection-Based Power Lifting Adaptive Fixed-Time Tracking Control
Liu, Y., Ren, H., Yu, H., & Li, H. (2024) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls61622.2024.10606708
“A practical fixed-time tracking scheme for a family of strict-feedback system is presented in [10].”
MethodHuang, J., Cao, T., Zhang, Z., & Yang, S. (2025) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518241309127
“Unlike some controllers which solely ensure fixed-time convergence for tracking errors, 28 this controller boasts globally fixed-time convergence, applying not just to tracking errors but also to the adaptive law, ensuring swift and certain stabilization for two aspects.”
Adaptive Finite-Time Formation Constraint Control for Heterogeneous Multi-agent Systems
Chen, Q., Shu, L., Liu, L., & Liu, Y. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-2208-5_52
Ma, C., Yang, Y., Zhu, J., Dai, R., & Shen, Q. (2025) · International Journal of Systems Science · doi:10.1080/00207721.2025.2487908
“Since the convergence problem and stability of fixed-time control were first proposed in 2012, fixed-time con-trol has been deeply researched (Ba et al.,2019 ; M. Chen et al., 2019; Chen et al., 2021a; Lu et al., 2020).”
Song, X., Zhuo, R., Song, S., & Wang, K. (2025) · Applied Mathematics and Computation · doi:10.1016/j.amc.2025.129467
Fixed‐Time Periodic Adaptive Event‐Triggered Control for Robotic Manipulator
Chen, Z., Li, Z., Xiong, Z., Han, W., & Wang, J. (2025) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.4027
“The matrix 𝑀 , 𝐶 , 𝐺 of the robotic manipulator dynamics is exactly known, and the desired joint trajectory 𝑦 𝑟 is twice differentiable.”
Real Time Control of a Three Tank Conical System in Non Square MIMO System Configuration
Sudhahar, S., Chidambaram, G. B., & S., P. (2025) · International Conference on Smart Technologies, Communication and Robotics (STCR) · doi:10.1109/stcr62650.2025.11019896
“It is used to a type of stringent feedback nonlinear systems for output tracking control [1].”
Robust Stochastic Predefined-Time Control and Its Application to Single-Link Robotic Arm Systems
Li, J., Jiang, X., & Zhang, T. (2025) · International Symposium on Autonomous Systems (ISAS) · doi:10.1109/icaisisas64483.2025.11052115
Qiu, L., & Zhao, J. (2025) · International Symposium on Autonomous Systems (ISAS) · doi:10.1109/icaisisas64483.2025.11052175
Sliding Mode Control for Chlorination Process Optimization
Yuan, Y., & Li, A. (2025) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc65474.2025.11090765
“However, first-order sliding-mode control has limitations, such as chattering and issues with sliding-mode variables, which can degrade performance and damage equipment [15].”
Fixed Time Disturbance Observer Based Adaptive Fuzzy Control for QUAV with State Constraints
Chen, R., & Ma, Q. (2025) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta65681.2025.11138165
“Lemma 1[18]: For a nonlinear system, it is assumed that there are constants κ 1 , κ 2 > 0 , 0 m 1 , 1 n ∞ , 0 υ 1 , and a continuous function Then, the nonlinear system is globally fixed-time stable.”
Zhan, H., Cao, Y., Chen, X., Chao, T., Zhang, J., & Guo, Q. (2025) · International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC) · doi:10.1109/csis-iac65538.2025.11161807
“[12] studied a fixed-time adaptive control technique, and the closed-loop system has essentially fixed-time stability.”
Mu, D., Wu, T., Sun, H., Li, H., Shi, L., Dong, S., He, Y., Fan, Y., & Lin, Y. (2025) · Chinese Control Conference (CCC) · doi:10.23919/ccc64809.2025.11178899
“The convergence time satisfies: ) , and a i ∈ (0 , 1) , the following inequality holds [11]: (5) , and a 2 ∈ (1 , ∞ ) , the following inequality holds [12]:”
Huo, Y., & Xiang, W. (2025) · AIMS Mathematics · doi:10.3934/math.20251112
Hu, W. (2025) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2025-1065
Liu, S., Cai, Y., & Pang, H. (2026) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2025.108394
Liang, L., Xia, H., & Wang, Z. (2026) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2026.3680831
“Remark 1: It is worth pointing out that although the authors in [19], [20], and [36] investigated the fixed-time control problem for nonlinear systems, they ignored the singularity issuesinherentlyintroducedbythefixed-timecontrolstrategy.”
A Unified Approach for Mitigating Loss of Excitation Using Adaptive Sliding Mode Control
Sharma, A., & Bhalja, B. R. (2025) · IEEE International Conference on Smart Technologies for Power, Energy and Control (STPEC) · doi:10.1109/stpec66316.2025.11490669
“Prominent among these are fuzzy logic control [6], predictive control [7], sliding mode control (SMC) [8]-[9], and adaptive excitation controller [10]-[11].”
Hua, C., Zhang, L., & Ning, P. (2026) · Springer eBooks · doi:10.1007/978-981-95-0962-1_1
Ding, W.-J., Zhang, G.-Z., Huang, F.-T.-Y., Zhang, L. X., Chai, Y., Mao, Z.-Y., & Li, B. (2026) · China Ocean Engineering · doi:10.1007/s13344-026-0045-x
“(3) Lemma 2 (Chen et al., 2021; Huang et al., 2023): For real numbers and , the following inequality holds y 1 , y 2 , ... , y n Lemma 3 (Chen et al., 2022b): For variables and a , the following inequality holds: Lemma 4 (Zhou et al., 2021): For a variable z , the following inequality holds: = 0 .”
Real-Time Adaptive Inter-Model Gap Identification for the Application of Digital Twins
Yang, F., Wei, B., & Wang, L. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-9346-0_26
Dynamic Event-Triggered Fixed-Time Control for Fully Actuated Systems with Unknown Gain
Kang, T., Zhang, J., Wang, F., & Liu, Z. (2026) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta70174.2026.11549536
“In [19], an adaptive fuzzy backstepping controller that achieves practical fixed-time tracking for strict-feedback nonlinear systems was proposed, with fuzzy logic approximating unknown dynamics.”
Ran, T., Wang, Y., Chen, X., Guo, Q., & Li, S. (2026) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta70174.2026.11549248
Jiao, X., Zhao, J., Chen, M., Wu, L., & Qu, Q. (2026) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2026.110348
Self-citationZhang, T., Li, J., & Jiang, X. (2026) · International Journal of Control Automation and Systems · doi:10.1007/s12555-026-00139-x
“Unlike traditional finite-time or fixed-time control approaches presented in [32, 33], Lemma 1 identifies a sufficient criterion ensuring that, by varying ς , the expected settling time E T ( x 0 ) can be considerably minimized.”
Wu, L., Liu, X., Liu, C.-G., Wang, H.-Q., & Huang, S. (2026) · Applied Mathematics and Computation · doi:10.1016/j.amc.2026.130255
Self-citationZhang, X., Li, F., Liu, E., Zhang, A., & Qiu, J. (2026) · Asian Journal of Control · doi:10.1002/asjc.70200
Zhou, Y., Wang, P., & Tang, G. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-12909-7
“For unknown time-varying delayed highorder nonlinear systems, an improved Lyapunov-Krasovskii function in [7] was devised, and the virtual control law was designed properly by introducing adaptive estimation tactic.”
Predefined-time approximation-free attitude constraint control of rigid spacecraft
Chen, Q., Xie, S., He, X., & Wang, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-344777-8.00020-3
Chen, Q., Xie, S., He, X., & Wang, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-344777-8.00022-7
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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