The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation
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Citations
Cites
From PID to Active Disturbance Rejection Control
Han, J. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2011621 · Cited by 6,803
Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints
He, W., Chen, Y., & Yin, Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2411285 · Cited by 1,273
Wang, D., & Huang, J. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.839354 · Cited by 1,266
Self-citationWen, C., Zhou, J., Liu, Z., & Su, H. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2122730 · Cited by 1,199
Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function
Ren, B., Ge, S. S., Tee, K. P., & Lee, T. H. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2047115 · Cited by 1,087
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
A robust adaptive nonlinear control design
Polycarpou, M. M., & Ioannou, P. A. (1996) · Automatica · doi:10.1016/0005-1098(95)00147-6 · Cited by 941
Liu, Y.-J., & Tong, S. (2016) · Automatica · doi:10.1016/j.automatica.2015.10.034 · Cited by 883
He, W., Yin, Z., & Sun, C. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2554621 · Cited by 463
Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form
Wang, D., & Huang, J. (2002) · Automatica · doi:10.1016/s0005-1098(02)00034-1 · Cited by 356
Self-citation
Cited by
Phan, V. D., & Ahn, K. K. (2023) · Nonlinear Dynamics · doi:10.1007/s11071-023-08364-3 · Cited by 60
Peng, J., Xiao, H., & Lai, G. (2024) · International Journal of Control Automation and Systems · doi:10.1007/s12555-023-0207-z · Cited by 22
Zhao, T., Qin, P., & Zhong, Y. (2023) · Entropy · doi:10.3390/e25020248 · Cited by 14
Lima, G. D. S., Moreira, V. R. F., & Bessa, W. M. (2022) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-022-03969-y · Cited by 12
Hà, V. T., Thương, T. T., Thanh, N. T., & Vinh, V. Q. (2024) · Actuators · doi:10.3390/act13010031 · Cited by 7
Metadata
- Authors
- Wang, C., Wang, D., & Han, Y.
- Affiliations
- Shandong Jiaotong University (CN)
- Dalian Maritime University (CN)
- Corresponding author
- Wang, Dan
- Venue
- International Journal of Control, Automation and Systems
- Published
- 2021-12
- Volume
- 19
- Issue
- 12
- Pages
- 4067-4077
- ISSN
- 1598-6446 (ISSN-L)
- 2005-4092
- OpenAlex
- W4200273740
- Cited by
- 15
- References
- 32
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 5 · 2022: 2
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Locations
- International Journal of Control Automation and Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Dynamics and Control of Mechanical Systems
- Keywords
- adaptive dynamic surface control, omnidirectional mobile robot, trajectory tracking, full-state constraints, input saturation, neural network approximation, explosion of complexity, barrier Lyapunov function, Nussbaum function, MIMO nonlinear systems, semi-global uniform boundedness
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation. https://app.cochat.ai/papers/10.1007/s12555-020-0582-7
- The paper
- Wang, C., Wang, D., & Han, Y. (2021). Neural Network Based Adaptive Dynamic Surface Control for Omnidirectional Mobile Robots Tracking Control with Full-state Constraints and Input Saturation. International Journal of Control, Automation and Systems. https://doi.org/10.1007/s12555-020-0582-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
