The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Boundary Disturbance Observer-Based Control of a Vibrating Single-Link Flexible Manipulator
Abstract
This paper examines the boundary disturbance observer-based control for a vibrating single-link flexible manipulator system possessing external disturbances. Two new boundary anti-disturbance control strategies are presented to eliminate vibration, track disturbance, and determine angle position for the flexible manipulator system. Achieving rigorous analysis with no model reduction, the derived control can ensure the angle positioning and bounded stability in the controlled system. By appropriately designing parameters, the resulting simulation results can demonstrate the control performance.
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Cites
Boundary Control of PDEs: A Course on Backstepping Designs
Krstic, M., & Smyshlyaev, A. (2008) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718607 · Cited by 1,216
Boundary Control of PDEs: A Course on Backstepping Designs
Krstić, M. (2008) · Cited by 879
Disturbance Observer-Based Control: Methods and Applications
Li, S., Yang, J. T., Chen, W., & Chen, X. (2014) · Cited by 840
Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
Li, H., Zhao, S., He, W., & Lu, R. (2019) · Automatica · doi:10.1016/j.automatica.2018.10.030 · Cited by 555
Chen, M., & Ge, S. S. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2455053 · Cited by 501
Vibration Control of a Flexible Robotic Manipulator in the Presence of Input Deadzone
He, W., Ouyang, Y., & Hong, J. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2608739 · Cited by 393
Iterative Learning Control for a Flapping Wing Micro Aerial Vehicle Under Distributed Disturbances
He, W., Meng, T., He, X., & Sun, C. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2808321 · Cited by 329
Self-citationAdaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer
He, W., Yan, Z., Sun, C., & Chen, Y. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2720801 · Cited by 328
Teleoperation Control Based on Combination of Wave Variable and Neural Networks
Yang, C., Wang, X., Li, Z., Li, Y., & Su, C.-Y. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2615061 · Cited by 326
Unified iterative learning control for flexible structures with input constraints
He, W., Meng, T., He, X., & Ge, S. S. (2018) · Automatica · doi:10.1016/j.automatica.2018.06.051 · Cited by 322
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Cited by
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
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Metadata
- Authors
- Zhao, Z., He, X., & Ahn, C. K.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2021-04
- Volume
- 51
- Issue
- 4
- Pages
- 2382-2390
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2944612515
- Cited by
- 256
- References
- 27
- FWCI
- 17.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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