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Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems

Shao-Cheng Tong, Yong-Ming Li, Gang Feng, Tie-Shan Li·2011·IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Abstract

In this paper, an adaptive fuzzy backstepping dynamic surface control (DSC) approach is developed for a class of multiple-input-multiple-output nonlinear systems with immeasurable states. Using fuzzy-logic systems to approximate the unknown nonlinear functions, a fuzzy state observer is designed to estimate the immeasurable states. By combining adaptive-backstepping technique and DSC technique, an adaptive fuzzy output-feedback backstepping-control approach is developed. The proposed control method not only overcomes the problem of "explosion of complexity" inherent in the backstepping-design methods but also overcomes the problem of unavailable state measurements. It is proved that all the signals of the closed-loop adaptive-control system are semiglobally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.

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Metadata

Authors
Tong, S.-C., Li, Y.-M., Feng, G., & Li, T.-S.
Venue
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
Published
2011-08
Volume
41
Issue
4
Pages
1124-1135
ISSN
  • 1083-4419 (ISSN-L)
  • 1941-0492
OpenAlex
W2132300288
Cited by
498
References
0
FWCI
30.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tsmcb.2011.2108283
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Tong, S.-C., Li, Y.-M., Feng, G., & Li, T.-S. (2011). Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). https://doi.org/10.1109/tsmcb.2011.2108283

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