The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles
Abstract
In this brief, an adaptive robust finite-time tracking control (ARFTTC) scheme for trajectory tracking of a fully actuated marine surface vehicle with unknown disturbances is proposed. A new finite-time disturbance observer is incorporated into the proposed finite-time tracking control (FTTC) structure that facilitates faster convergence and better robustness to disturbances. Hence, in the presence of unknown disturbances, the ARFTTC can cause tracking error to converge to zero in a finite time. Simulation studies and comprehensive comparisons with conventional backstepping technique demonstrate remarkable performance and superiority of the ARFTTC in terms of both tracking accuracy and robustness.
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Cites
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Self-citationGlobal finite-time stabilization of a class of uncertain nonlinear systems
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Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory
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Finite-Time Attitude Tracking Control of Spacecraft With Application to Attitude Synchronization
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Cui, R., Yang, C., Li, Y., & Sharma, S. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2645699 · Cited by 538
Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints
He, W., Huang, H., & Ge, S. S. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2711961 · Cited by 361
Reinforcement learning-based optimal tracking control of an unknown unmanned surface vehicle
Wang, N., Gao, Y., Zhao, H., & Ahn, C. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3009214 · Cited by 322
Self-citationData-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle
Wang, N., Gao, Y., & Zhang, X. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3056444 · Cited by 282
Self-citationAccurate Finite-Time Motion Control of Hydraulic Actuators with Event-Triggered Input
Chen, J., Du, X., Lyu, L., Fei, Z., & Sun, X.-M. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3319348 · Cited by 18
Metadata
- Authors
- Wang, N., Qian, C., Sun, J.-C., & Liu, Y.-C.
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2016-07
- Volume
- 24
- Issue
- 4
- Pages
- 1454-1462
- ISSN
- 1063-6536 (ISSN-L)
- 1558-0865
- OpenAlex
- W2344261455
- Cited by
- 346
- References
- 18
- FWCI
- 33.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, N., Qian, C., Sun, J.-C., & Liu, Y.-C. (2016). Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2015.2496585
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