The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Command Filter-Based Adaptive Fuzzy Finite-Time Output Feedback Control of Nonlinear Electrohydraulic Servo System
Abstract
In this paper, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the Electro-hydraulic servo system. For the uncertainties in the system, we utilize the fuzzy logic systems (FLSs) to estimate these uncertain nonlinearities and fuzzy state observer is established to approximate the unmeasurable hydraulic cylinder stem speed and the internal cylinder force. Then, a command filter-based finite time output feedback control is proposed to achieve high tracking precision, where the tracking errors can be regulated into a small neighborhood around the equilibrium proved by the Lyapunov finite-time stability theory. Moreover, a command filter is introduced to avoid the explosion of complexity in the backstepping procedure, where a compensation mechanism is developed to compensate for filter errors. Finally, simulation results are provided to demonstrate the effectiveness of the proposed control.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, the control algorithms using FLS/NN are usually computationally expensive, since FLS relies heavily on the knowledge rules of expert and NN requires either online learning or offline training procedures to make the controller perform properly.”
From Compensation Function Observer-Based Backstepping Sliding-Mode Control of Uncertain Electro-Hydraulic Servo System (2024) · cites this paper as [23]
Citations
Cites
Higher-order sliding modes, differentiation and output-feedback control
Levant, A. (2003) · International Journal of Control · doi:10.1080/0020717031000099029 · Cited by 3,881
Continuous finite-time control for robotic manipulators with terminal sliding mode
Yu, S., Yu, X., Shirinzadeh, B., & Man, Z. (2005) · Automatica · doi:10.1016/j.automatica.2005.07.001 · Cited by 2,656
Merritt, H. E., & Pomper, V. (1968) · Journal of Applied Mechanics · doi:10.1115/1.3601167 · Cited by 2,632
A continuous feedback approach to global strong stabilization of nonlinear systems
Qian, C., & Lin, W. T. (2001) · IEEE Transactions on Automatic Control · doi:10.1109/9.935058 · Cited by 1,383
Yao, J., Jiao, Z., & Ma, D. (2014) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2304912 · Cited by 707
Chen, M., & Ge, S. S. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2455053 · Cited by 501
Self-citationActive Disturbance Rejection Adaptive Control of Hydraulic Servo Systems
Yao, J., & Deng, W. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2694382 · Cited by 422
Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
Sui, S., Chen, C. L. P., & Tong, S. (2018) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2018.2882167 · Cited by 366
Adaptive Control of Hydraulic Actuators With LuGre Model-Based Friction Compensation
Yao, J., Deng, W., & Jiao, Z. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2423660 · Cited by 343
Adaptive 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
Flagged first, then by citations
Research works printed but not linked: 1
- wu, 2018, Anti-saturation dynamic surface control for spacecraft terminal safe approach based on command filter, Int J Innov Comput Inf Control, 14, 33
Cited by
Sorted by citations
Items 601–659 of 659
Palaniswamy, T., Vellingiri, M. T., & Raja, M. R. (2023) · The Imaging Science Journal · doi:10.1080/13682199.2023.2232182 · Cited by 1
Design and implementation of trajectory planning for a high-order bounded reference
Ye, S., Liu, G. P., Hu, W., & Lei, Z. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105794
Low speed wind tunnel moving ground test bed design
Kędzierski, Ł., Krysztofiak, G., Praski, R., Podlevski, E., Kapuściński, J., Liberacki, A., Miller, M., & Osiewicz, M. (2024) · Flow Measurement and Instrumentation · doi:10.1016/j.flowmeasinst.2024.102540
Thapar, G. S., & Torres, L. A. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-1259
ADDMDNet: A Slice Ranking based Approach for Alzheimer’s Disease Detection from Multi-modal Data
U, S. K. G., Purushothaman, A., Pradeep, R., & Sreeni, K. G. (2023) · Indian Conference on Computer Vision, Graphics and Image Processing · doi:10.1145/3627631.3627632
Adversarial Transfer Learning for Alzheimer's Disease Diagnosis Using Structural MRI
Xu, X., Cao, G., Song, T., & Kang, G. (2023) · International Conference on Biomedical and Bioinformatics Engineering (ICBBE) · doi:10.1145/3637732.3637775
Xu, Z., & Li, Y. (2024) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-236385
RetractedImproved weighted centroid localization algorithm based on multiple magnetic beacons
Wang, Z., Huang, Y., Chen, J., & Wang, C. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2761/1/012033
An Approach to Remaining Life Estimation for Power Transformers with Biased Data
Zhou, H., Yi-ming, Y., He, Y., & Zhang, F. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2785/1/012058
Life prediction for power transformers with truncated odd Weibull distribution family
Zhou, H., Yi-ming, Y., He, Y., & Zhang, F. (2024) · International Conference on Electronic Information Engineering and Data Processing (EIEDP) · doi:10.1117/12.3032860
Hierarchical contrastive representation for zero shot learning
Lu, Z., He, Z., He, Z., Sun, X., Luo, H., & Zheng, Y. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05531-w
Wei, Y., Qian, L., Zou, Q., Chen, L., & Nie, S. (2024) · Journal of Mechanical Science and Technology · doi:10.1007/s12206-024-0838-x
Zhu, X., Sun, J., Yan, Z., & Xu, Y. (2024) · Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability · doi:10.1177/1748006x241271884
Rück, T., Pangerl, J., Escher, L., Jobst, S., Müller, M., Bierl, R., & Matysik, F. (2024) · Photoacoustics · doi:10.1016/j.pacs.2024.100652
Wang, W., Xinyi, Z., Lu, S., & Zhang, J. (2024) · Measurement and Control · doi:10.1177/00202940241277103
Semi-Supervised Proxy Contrastive Generalization Network for Bearing Fault Diagnosis
Song, Q., Jiang, X., Wang, Q., Wang, J., Huang, W., & Zhu, Z. (2024) · Mechanisms and machine science · doi:10.1007/978-3-031-73407-6_50
Lin, T., Lu, M., Jiang, M., & Kong, J. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8685-5_17
Parralejo, F., Álvarez, F. J., Paredes, J. A., Aranda, F. J., & Aguilera, T. (2024) · Sensors · doi:10.3390/s24237469
Studying photoelectric measuring device data fusion using the UKF algorithm
Mu, R. (2024) · International Conference on Electronics, Electrical and Information Engineering (ICEEIE) · doi:10.1117/12.3052177
A self-powered wireless monitoring system driven by ambient RF energy for switch rails
Tian, S. F., Long, H., Li, Y., Sun, Y., Wang, P., & Gao, M. (2025) · Sensor Review · doi:10.1108/sr-11-2024-0913
Multi-band image fusion via perceptual framework and multiscale texture saliency
Liu, Z., Jin, W., Sheng, D., & Li, L. (2025) · Infrared Physics & Technology · doi:10.1016/j.infrared.2025.105728
Yang, X., Yuan, X., Yao, X., Zhang, Y., Liu, J., & Zhou, F. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126730
Shang, D., Wang, H., Zhang, M., Peng, Y., Ye, X., & Wang, Z. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-1071-6_26
qiu, Z., & Guo, C. (2025) · Engineering Research Express · doi:10.1088/2631-8695/adcb90
Li, J., Yan, H., Ji, R., Liang, X., & Ge, S. S. (2025) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3579064
Self-citationFault detection for electric magnesium melting furnace based on cooperative modeling
Fan, Y., Zhang, Y., Luo, C., & Bi, Z. (2025) · Control Engineering Practice · doi:10.1016/j.conengprac.2025.106490
Zhang, D., Idrus, Z., & Hamzah, R. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/adf4fc
Liu, P., Linsen, S., Li, Z., Liang, W., Gu, L., Jiang, Z., Wang, W., He, B., & Hu, Y. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3067/1/012002
Khatri, U., Kim, J., & Kwon, G. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113693 · Cited by 1
Zhang, H., Wang, Z., Li, K., Dang, X., Hu, M., Li, Y., Li, S., Li, M., Hu, X., & Hu, X. (2025) · Ceramics International · doi:10.1016/j.ceramint.2025.08.195
A new interdomain feature perception enhancement strategy for rotating machinery fault diagnosis
Shen, C., Liu, T., Shi, J., Yang, H. F., Huang, W., & Zhu, Z. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/adfaab
Decoding visual neural representations by multimodal with dynamic balancing
Sun, K., Miao, X., Zhai, B., Duan, H., & Yang, L. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129382
Prasudha, M. L., Sukhavasi, V., Neha, K., & Lunawat, P. S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-4226-7_37
Yu, Y., Ji, J., Chen, Z., Liu, Z., & Xiang, J. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/ae02ba
Gawande, M. A., & Varade, S. (2025) · MethodsX · doi:10.1016/j.mex.2025.103590
Wu, S., Cai, Y., Zheng, Y., Li, D., Lai, H., & Sun, H. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129692
Osmani, K., Halimjanova, M., & Schulz, D. (2025) · STAR Protocols · doi:10.1016/j.xpro.2025.104114
Guo, Z.-Y., Tong, R., Wang, Y., Lv, R.-Q., & Zhao, Y. (2025) · Optics & Laser Technology · doi:10.1016/j.optlastec.2025.114045
IPSO algorithm-based spherical motor driving strategy via full factorial design method
Zhou, S., Li, G., Wang, Q., Xu, J., Li, H., & Bian, K. (2025) · International Journal of Applied Electromagnetics and Mechanics · doi:10.1177/13835416251345625
Measuring respiration through the wall by passive RFID tag
Lou, L., Yang, J., Wang, Z., Gong, T., Yu, H. B., & Tang, G. (2025) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2025.117193
Wu, X., Chunyu, N., Feng, L., & Zheng, J. (2025) · Digital Signal Processing · doi:10.1016/j.dsp.2025.105705 · Cited by 1
External Mach–Zehnder interferometric sensor with SMSTF for high-sensitivity glucose detection
Pradipta, M. F. F., Pamukti, B., Marlina, L., Wang, Z., Liaw, S., Apsari, R., & Yang, F.-L. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/ae1aad
Hybrid UWB-RF Victim Search With Adaptive Kalman Filtering Under Dense Smoke Conditions
Jang, S., Cho, Y., Kwon, B.-K., & Lim, M. T. (2025) · International Journal of Control Automation and Systems · doi:10.1007/s12555-025-0502-y
Chen, Y., Li, H., Li, D., Yang, K., & Zhou, J. (2025) · Tribology International · doi:10.1016/j.triboint.2025.111434
Zhao, W., Liu, X., Zhang, T., & Yu, C. (2025) · International Conference on Advanced Algorithms and Neural Networks (AANN) · doi:10.1109/aann66429.2025.11257633
Hu, Q., Peng, Y., Shao, Z., KinTak, U., & Chen, J. (2025) · The Visual Computer · doi:10.1007/s00371-025-04297-7
Du, S., Jia, Z., Li, X., Pang, Z., Aw, K. C., & Su, Y. (2025) · Smart Materials and Structures · doi:10.1088/1361-665x/ae0d1a
A multi-functional autonomous cobot system for large-scale aerospace precision machining
Abdulrahman, Y., AbuAssi, L., Ayyad, A., Ramadan, M., Halwani, M., Salah, M., Ferguson, J., Abusafieh, A., & Zweiri, Y. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02761-8
Wang, Y., He, Z., Zhang, X., Wang, Y., & Xu, J. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3647856
LiDAR Odometry Based on Wheel Encoder in Degenerate Environments
Liu, J., Lan, B., Wei, B., & Lu, Z. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-4053-2_34
Li, J., Yue, K., Wu, Z., Jiang, F., Zhang, S., & Li, W. (2026) · Nondestructive Testing And Evaluation · doi:10.1080/10589759.2025.2598298
Self-citationDevelopment of a Laser-PSD Based Sensor for Force Detection
Fang, T., Yue, Z., Wang, H., Wu, C., Fei, F., & Zhu, Y. (2025) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2025.12.496
Insulator Defect Detection Method Based on Improved YOLOv5s and CBAM
Xiao, J. (2025) · IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) · doi:10.1109/auteee67053.2025.11322244
Li, R., Yang, L., Lian, Z., Geng, H., & Liu, F. (2026) · Nondestructive Testing And Evaluation · doi:10.1080/10589759.2026.2618196
He, Y., Ma, A., Wang, S., Yan, X., & Zhao, S. (2026) · Measurement Science and Technology · doi:10.1088/1361-6501/ae49ab
Neural Network-Based Fast Finite-Time Control for Electro-Hydraulic Systems
Wang, C., Huang, H., Chen, X., Guo, Q., Chen, Z., & Li, T. (2025) · China Automation Congress (CAC) · doi:10.1109/cac67268.2025.11487806
Li, H., & Yu, G. (2026) · Advanced Materials · doi:10.1002/adma.74315
Chang, H., Zhou, F., Li, Q., Jia, P., Hu, X., & Karimi, H. R. (2026) · Journal of Vibration and Control · doi:10.1177/10775463261497674
Metadata
- Authors
- Li, J., Ji, R., Liang, X., Ge, S. S., & Yan, H.
- Affiliations
- Beijing Jiaotong University (CN)
- National University of Singapore (SG)
- Venue
- IEEE Transactions on Instrumentation and Measurement
- Published
- 2022
- Volume
- 71
- Pages
- 1-10
- ISSN
- 0018-9456 (ISSN-L)
- 1557-9662
- OpenAlex
- W4313124175
- Cited by
- 659
- References
- 57
- Citations by year
- 2026: 11 · 2025: 250 · 2024: 225 · 2023: 143 · 2022: 30
- FWCI
- 61.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Instrumentation and Measurement (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
- 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
- Keywords
- electro-hydraulic servo system, command filter, adaptive fuzzy control, fuzzy observer, backstepping control, tracking precision
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review