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Adaptive Neural Control of Uncertain Nonstrict-Feedback Stochastic Nonlinear Systems with Output Constraint and Unknown Dead Zone
Abstract
An approximation-based adaptive neural controller is constructed for uncertain stochastic nonlinear systems in nonstrict-feedback form appearing dead-zone and output constraint. Neural networks (NNs) are directly utilized to approximate the unknown nonlinear functions existing in systems. A barrier Lyapunov function is introduced to ensure that the trajectory of output is limited within a predetermined range. By integrating NNs into the backstepping technique, an adaptive neural controller is designed to guarantee all variables existing in the considered closed-loop system are semi-globally uniformly ultimately bounded, and by appropriately tuning several design parameters online, the tracking error can be converged to a small neighborhood of the origin. Simulations on a numerical example are given to demonstrate the effectiveness of the method proposed in this paper.
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Citations
Cited by
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
Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems
Ba, D., Li, Y.-X., & Tong, S. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.06.063 · Cited by 281
Li, D.-P., Li, D.-J., Liu, Y.-J., Tong, S., & Chen, C. L. P. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2707178 · Cited by 148
Ni, J., Wu, Z., Liu, L., & Liu, C. (2020) · ISA Transactions · doi:10.1016/j.isatra.2019.07.013 · Cited by 105
Ma, L., & Liu, L. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2019.2922393 · Cited by 79
Metadata
- Authors
- Li, H., Bai, L., Wang, L., Zhou, Q., & Wang, H.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2017-08
- Volume
- 47
- Issue
- 8
- Pages
- 2048-2059
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2529405793
- Cited by
- 263
- References
- 0
- FWCI
- 40.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, H., Bai, L., Wang, L., Zhou, Q., & Wang, H. (2017). Adaptive Neural Control of Uncertain Nonstrict-Feedback Stochastic Nonlinear Systems with Output Constraint and Unknown Dead Zone. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2016.2605706
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