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Cited by 255

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems

Min Wang, Bing Chen, Peng Shi·2008·IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Abstract

This paper proposes a novel adaptive neural control scheme for a class of perturbed strict-feedback nonlinear time-delay systems with unknown virtual control coefficients. Based on the radial basis function neural network online approximation capability, an adaptive neural controller is presented by combining the backstepping approach and Lyapunov-Krasovskii functionals. The proposed controller guarantees the semiglobal boundedness of all the signals in the closed-loop system and contains minimal learning parameters. Finally, three simulation examples are given to demonstrate the effectiveness and applicability of the proposed scheme.

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Metadata

Authors
Wang, M., Chen, B., & Shi, P.
Venue
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
Published
2008-06
Volume
38
Issue
3
Pages
721-730
ISSN
1083-4419 (ISSN-L)
OpenAlex
W2132179668
Cited by
255
References
1
FWCI
24.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems. https://app.cochat.ai/papers/10.1109/tsmcb.2008.918568
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Wang, M., Chen, B., & Shi, P. (2008). Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2008.918568

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