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Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures

Tong, Shaocheng, Huo, Baoyu, Li, Yongming·2014·IEEE Transactions on Fuzzy Systems

Abstract

This paper investigates the adaptive fuzzy decentralized fault-tolerant control (FTC) problem for a class of nonlinear large-scale systems in strict-feedback form. The considered nonlinear system contains the unknown nonlinear functions, i.e., unmeasured states and actuator faults, which are modeled as both loss of effectiveness and lock-in-place. With the help of fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is designed to estimate the unmeasured states. By combining the backstepping technique with the nonlinear FTC theory, a novel adaptive fuzzy decentralized FTC scheme is developed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded, and the tracking errors between the system outputs and the reference signals converge to a small neighborhood of zero by appropriate choice of the design parameters. Simulation results are provided to show the effectiveness of the control approach.

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Metadata

Authors
Tong, S., Huo, B., & Li, Y.
Venue
IEEE Transactions on Fuzzy Systems
Published
2014-02
Volume
22
Issue
1
Pages
1-15
ISSN
  • 1063-6706 (ISSN-L)
  • 1941-0034
OpenAlex
W1972812456
Cited by
560
References
0
FWCI
77.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures. https://app.cochat.ai/papers/10.1109/tfuzz.2013.2241770
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Tong, S., Huo, B., & Li, Y. (2014). Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/tfuzz.2013.2241770

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