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Neural Network-Based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-Feedback Form
Abstract
The dynamic surface control (DSC) technique was developed recently by Swaroop et al. This technique simplified the backstepping design for the control of nonlinear systems in strict-feedback form by overcoming the problem of "explosion of complexity." It was later extended to adaptive backstepping design for nonlinear systems with linearly parameterized uncertainty. In this paper, by incorporating this design technique into a neural network based adaptive control design framework, we have developed a backstepping based control design for a class of nonlinear systems in strict-feedback form with arbitrary uncertainty. Our development is able to eliminate the problem of "explosion of complexity" inherent in the existing method. In addition, a stability analysis is given which shows that our control law can guarantee the uniformly ultimate boundedness of the solution of the closed-loop system, and make the tracking error arbitrarily small.
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Citations
Cited by
Chen, M., Tao, G., & Jiang, B. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2360933 · Cited by 508
Peng, Z., Wang, J., & Wang, D. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2699167 · Cited by 382
Self-citationAdaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer
Chen, M., Shao, S.-Y., & Jiang, B. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2667680 · Cited by 292
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
Adaptive Neural Control of MIMO Nonstrict-Feedback Nonlinear Systems With Time Delay
Zhao, X., Yang, H., Karimi, H. R., & Zhu, Y. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2441292 · Cited by 130
Metadata
- Authors
- Wang, D., & Huang, J.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2005-01
- Volume
- 16
- Issue
- 1
- Pages
- 195-202
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2102057409
- Cited by
- 1,266
- References
- 0
- FWCI
- 36.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural Network-Based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-Feedback Form. https://app.cochat.ai/papers/10.1109/tnn.2004.839354
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- Wang, D., & Huang, J. (2005). Neural Network-Based Adaptive Dynamic Surface Control for a Class of Uncertain Nonlinear Systems in Strict-Feedback Form. IEEE Transactions on Neural Networks. https://doi.org/10.1109/tnn.2004.839354
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