The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Control of fully actuated ocean surface vessels using a class of feedforward approximators
Abstract
In this brief, we consider the problem of tracking a desired trajectory for fully actuated ocean vessels, in the presence of uncertainties and unknown disturbances. The combination of approximation-based and domination design techniques allows us to handle time-varying disturbances, without the need for explicit knowledge of the bounds. Using backstepping and Lyapunov synthesis, the stable tracking controller is first designed for the full-state feedback case. Subsequently, the output feedback problem is tackled by employing a high-gain observer to estimate the unmeasurable states required by the stable tracking controller. Under the proposed control, semiglobal uniform boundedness of the closed-loop signals is guaranteed for both full-state and output feedback cases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Slotine, J.-J. E., & Li, W. (1991) · CERN Document Server (European Organization for Nuclear Research) · Cited by 18,975
Narendra, K. S., & Annaswamy, A. M. (1989) · Cited by 3,988
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 2,796
Stable Adaptive Neural Network Control
Ge, S. S., Hang, C. C., Lee, T. H., & Zhang, T. (2002) · Springer eBooks · doi:10.1007/978-1-4757-6577-9 · Cited by 1,149
Self-citationAdaptive Neural Control of Uncertain MIMO Nonlinear Systems
Ge, S. S., & Wang, C. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.826130 · Cited by 971
Self-citationAdaptive maneuvering, with experiments, for a model ship in a marine control laboratory
Skjetne, R., Fossen, T. I., & Kokotović, P. V. (2005) · Automatica · doi:10.1016/j.automatica.2004.10.006 · Cited by 870
Adaptive control of nonlinearly parameterized systems: the smooth feedback case
Lin, W., & Qian, C. (2002) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2002.800773 · Cited by 631
Adaptive Neural Network Control of Robotic Manipulators
Ge, S. S., Lee, T. H., & Harris, C. J. (1998) · World Scientific Series in Robotics and Intelligent Systems · doi:10.1142/3774 · Cited by 618
Self-citationFossen, T. I., & Strand, J. P. (1999) · Automatica · doi:10.1016/s0005-1098(98)00121-6 · Cited by 552
Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
Ge, S. S., & Zhang, J. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.813823 · Cited by 312
Self-citation
Cited by
Unmanned surface vehicles: An overview of developments and challenges
Liu, Z., Zhang, Y., Yu, X., & Yuan, C. (2016) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2016.04.018 · Cited by 1,235
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles
Peng, Z., Wang, J., Wang, D., & Han, Q.-L. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3004343 · Cited by 757
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Self-citationPeng, Z., Wang, D., Chen, Z., Hu, X., & Lan, W. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2011.2181513 · Cited by 517
Chen, M., Tao, G., & Jiang, B. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2360933 · Cited by 508
Metadata
- Authors
- Tee, K. P., & Ge, S. S.
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2006-07
- Volume
- 14
- Issue
- 4
- Pages
- 750-756
- ISSN
- 1063-6536 (ISSN-L)
- OpenAlex
- W2117948790
- Cited by
- 337
- References
- 13
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Control of fully actuated ocean surface vessels using a class of feedforward approximators. https://app.cochat.ai/papers/10.1109/tcst.2006.872507
- The paper
- Tee, K. P., & Ge, S. S. (2006). Control of fully actuated ocean surface vessels using a class of feedforward approximators. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2006.872507
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.
