The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.
Neural adaptive dynamic surface control of an electro-hydraulic loading system for rail grinders
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Citations
Cites
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
A nonlinear disturbance observer for robotic manipulators
Chen, W.-H., Ballance, D. J., Gawthrop, P. J., & O'Reilly, J. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.857974 · Cited by 1,752
Marques, F., Flores, P., Claro, J. C. P., & Lankarani, H. M. (2016) · Nonlinear Dynamics · doi:10.1007/s11071-016-2999-3 · Cited by 486
Cannon, D. F., Edel, K.-O., Grassie, S. L., & Sawley, K. (2003) · Fatigue & Fracture of Engineering Materials & Structures · doi:10.1046/j.1460-2695.2003.00693.x · Cited by 469
Feng, H., Song, Q., Ma, S., Ma, W., Yin, C., Cao, D., & Yu, H. (2022) · ISA Transactions · doi:10.1016/j.isatra.2021.12.044 · Cited by 231
Nonlinear Adaptive Robust Force Control of Hydraulic Load Simulator
Yao, J., Jiao, Z., Yao, B., Shang, Y., & Dong, W. (2012) · Chinese Journal of Aeronautics · doi:10.1016/s1000-9361(11)60443-3 · Cited by 116
On the Limitations of Force Tracking Control for Hydraulic Servosystems
Alleyne, A. G., & Liu, R. (1999) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.2802453 · Cited by 116
Wang, C., Jiao, Z., Wu, S., & Shang, Y. (2013) · Mechatronics · doi:10.1016/j.mechatronics.2013.11.005 · Cited by 85
Effect of rail corrugation on metro interior noise and its control
Han, J., Xiao, X., Wu, Y., Wen, Z., & Zhao, G. (2017) · Applied Acoustics · doi:10.1016/j.apacoust.2017.09.007 · Cited by 84
Chen, S., Chen, Z., Yao, B., Zhu, X., Zhu, S., Wang, Q., & Song, Y. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2016.2614987 · Cited by 79
Research works printed but not linked: 8
- Lewis, R., Evans, G., Singleton, R., Marshall, M.B.: Rail grinding for the 21st century - taking a lead from the aerospace industry. P. I. Mech. Eng. F-J Rai. 229(5), 457–465 (2015)
- Deng, W., Yao, J., Wang, Y., Yang, X., Chen, J.: Output feedback backstepping control of hydraulic actuators with valve dynamics compensation. Mech. Syst. Signal Pr. 158, 107769 (2021)
- Zhang, X., Shi, G.: Dual extended state observer-based adaptive dynamic surface control for a hydraulic manipulator with actuator dynamics. Mech. Mach. Theory 169, 104647 (2022)
- Dai, K., Zhu, Z., Shen, G., Tang, Y., Li, X., Wang, W., Wang, Q.: Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model. Control. Eng. Pract. 125, 105213 (2022)
- Guo, Q., Chen, Z.: Neural adaptive control of single-rod electrohydraulic system with lumped uncertainty. Mech. Syst. Signal Pr. 146, 106869 (2021)
- Yang, M., Zhang, X., Xia, Y., Liu, Q., Zhu, Q.: Adaptive neural network-based sliding mode control for a hydraulic rotary drive joint. Comput. Electr. Eng. 102, 108189 (2022)
- Liu, C.H., Chen, A., Chen, C.C.A., Wang, Y.T.: Grinding force control in an automatic surface finishing system. J. Mater. Process. Tech. 170(1–2), 367–373 (2005)
- Han, J.: Active Disturbance Rejection Control Technique-the Technique for Estimating and Compensating the Uncertainties, pp. 31–32. National Defence Industry Press, Beijing (2008)
Cited by
Phan, V. D., Truong, H. V. A., Le, V. C., Ho, S. P., & Ahn, K. K. (2025) · Scientific Reports · doi:10.1038/s41598-025-86583-x · Cited by 21
Liu, L., Shen, G., Wang, W., Guo, Q., Li, X., Zhu, Z., Guo, Y., & Wang, Q. (2024) · ISA Transactions · doi:10.1016/j.isatra.2024.09.021 · Cited by 8
Hua, C., Zhou, J., Zhang, B., Zhang, Y., & Luo, X. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-024-10637-4 · Cited by 6
Dong, Z., Song, H., Liao, Y., Wang, H., Song, M., Jiang, J., & Chen, G. (2025) · Actuators · doi:10.3390/act14060261 · Cited by 6
Self-citationData-physics hybrid modeling and identification for an electro-hydraulic rail grinding system
Liu, K., Jin, T., Hu, W., & Shang, Z. (2025) · Mechatronics · doi:10.1016/j.mechatronics.2025.103393 · Cited by 1
Self-citation
Metadata
- Authors
- Liu, K.-F., Jin, T., Shang, Z.-T., & Wang, H.
- Affiliations
- Hunan University (CN)
- Corresponding author
- Jin, Tan
- Venue
- Nonlinear Dynamics
- Published
- 2024-06-10
- Volume
- 112
- Issue
- 16
- Pages
- 14191-14213
- ISSN
- 0924-090X (ISSN-L)
- 1573-269X
- OpenAlex
- W4399475429
- Cited by
- 13
- References
- 34
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 1
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Nonlinear Dynamics (publishedVersion)
- Funders
- Natural Science Foundation of Hunan Province, China (2023JJ30147)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Dynamics and Control of Mechanical Systems
- Keywords
- rail grinding, dynamic surface control, radial basis function neural network, nonlinear friction compensation, disturbance observer, force tracking, rail corrugation, explosion of complexity, adaptive neural network control
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
