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Cited by 428

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems

Yu, Jinpeng, Shi, Peng, Dong, Wenjie, Yu, Haisheng·2015·IEEE Transactions on Industrial Electronics

Abstract

In this paper, observer and command-filter-based adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states. First, fuzzy logic systems are used to approximate the unknown and nonlinear functions. Next, a fuzzy state observer is developed to estimate the immeasurable states. Then, command-filtered backstepping control is designed to avoid the explosion of complexity in the backstepping design, and compensating signals are introduced to remove the effect of the errors caused by command filters. The proposed method guarantees that all signals in the closed-loop systems are bounded. The main contributions of this paper are the proposed control method can overcome two problems of linear in the unknown system parameter and explosion of complexity in backstepping-design methods and it does not require that all of the states of the system are measured directly. Finally, two examples are provided to illustrate its effectiveness.

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Metadata

Authors
Yu, J., Shi, P., Dong, W., & Yu, H.
Venue
IEEE Transactions on Industrial Electronics
Published
2015-09
Volume
62
Issue
9
Pages
5962-5970
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2005595169
Cited by
428
References
28
FWCI
24.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tie.2015.2418317
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Yu, J., Shi, P., Dong, W., & Yu, H. (2015). Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2015.2418317

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