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Cited by 285

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems

Tie-Shan Li, Shao-Cheng Tong, Gang Feng·2010·IEEE Transactions on Fuzzy Systems

Abstract

Robust adaptive-fuzzy-tracking control of a class of uncertain multi-input/multi-output nonlinear systems with coupled interconnections is considered in this paper. Takagi–Sugeno (T–S) fuzzy systems are used to approximate the unknown system functions. A novel adaptive-control scheme is developed on the basis of the so-called “dynamic-surface control” and “minimal-learning parameters” techniques. The proposed scheme has following two key features. First, the number of parameters updated online for each subsystem is reduced to one, and both problems of “curse of dimension” for high-dimensional systems and “explosion of complexity” inherent in the conventional backstepping methods are circumvented. Second, the potential controller-singularity problem in some of the existing adaptive-control schemes with feedback-linearization techniques is overcome. It is shown via Lyapunov theory that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded. Finally, simulation results via two examples are presented to demonstrate the effectiveness and advantages of the proposed scheme.

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Metadata

Authors
Li, T.-S., Tong, S.-C., & Feng, G.
Venue
IEEE Transactions on Fuzzy Systems
Published
2010-02
Volume
18
Issue
1
Pages
150-160
ISSN
  • 1063-6706 (ISSN-L)
  • 1941-0034
OpenAlex
W2167398973
Cited by
285
References
17
FWCI
32.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems. https://app.cochat.ai/papers/10.1109/tfuzz.2009.2038277
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Li, T.-S., Tong, S.-C., & Feng, G. (2010). A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/tfuzz.2009.2038277

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