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Adaptive Neural Control of Nonlinear Time-Delay Systems With Unknown Virtual Control Coefficients

Ge, S.S., Hong, F., Lee, T.H.·2004·IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)

Abstract

In this paper, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping design method is able to guarantee semiglobal uniformly ultimately boundedness of all the signals in the closed-loop. In addition, the output of the system is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.

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Authors
Ge, S. S., Hong, F., & Lee, T. H.
Venue
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
Published
2004-02
Volume
34
Issue
1
Pages
499-516
ISSN
1083-4419 (ISSN-L)
OpenAlex
W2050246747
Cited by
716
References
0
FWCI
30.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive Neural Control of Nonlinear Time-Delay Systems With Unknown Virtual Control Coefficients. https://app.cochat.ai/papers/10.1109/tsmcb.2003.817055
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Ge, S. S., Hong, F., & Lee, T. H. (2004). Adaptive Neural Control of Nonlinear Time-Delay Systems With Unknown Virtual Control Coefficients. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2003.817055

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.