The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Robust and Adaptive Backstepping Control for Nonlinear Systems Using RBF Neural Networks
Abstract
In this paper, two different backstepping neural network (NN) control approaches are presented for a class of affine nonlinear systems in the strict-feedback form with unknown nonlinearities. By a special design scheme, the controller singularity problem is avoided perfectly in both approaches. Furthermore, the closed loop signals are guaranteed to be semiglobally uniformly ultimately bounded and the outputs of the system are proved to converge to a small neighborhood of the desired trajectory. The control performances of the closed-loop systems can be shaped as desired by suitably choosing the design parameters. Simulation results obtained demonstrate the effectiveness of the approaches proposed. The differences observed between the inputs of the two controllers are analyzed briefly.
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Cites
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Systematic design of adaptive controllers for feedback linearizable systems
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Sanner, R. M., & Slotine, J.-J. E. (1991) · 1991 American Control Conference · doi:10.23919/acc.1991.4791778 · Cited by 1,072
The joy of feedback: nonlinear and adaptive
(1992) · IEEE Control Systems · doi:10.1109/37.165507 · Cited by 879
Adaptive nonlinear control without overparametrization
Krstić, M., Kanellakopoulos, I., & Kokotović, P. V. (1992) · Systems & Control Letters · doi:10.1016/0167-6911(92)90111-5 · Cited by 727
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Zhang, T., Ge, S. S., & Hang, C. C. (2000) · Automatica · doi:10.1016/s0005-1098(00)00116-3 · Cited by 679
Direct adaptive NN control of a class of nonlinear systems
Ge, S. S., & Wang, C. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/72.977306 · Cited by 618
Robust backstepping control of nonlinear systems using neural networks
Kwan, C., & Lewis, F. L. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.895898 · Cited by 459
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
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
- Li, Y., Qiang, S., Zhuang, X., & Kaynak, O.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2004-05
- Volume
- 15
- Issue
- 3
- Pages
- 693-701
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2130762434
- Cited by
- 455
- References
- 16
- FWCI
- 30.69
- Type
- journal article
- Language
- en
- Open access
- closed
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