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Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones

Tong, Shaocheng, Zhang, Lili, Li, Yongming·2016·IEEE Transactions on Systems, Man, and Cybernetics: Systems

Abstract

In this paper, the problem of adaptive fuzzy decentralized output-feedback control design is investigated for a class of switched nonlinear large-scale systems in strict-feedback form. The considered nonlinear large-scale systems contain the unknown nonlinearities and dead zones, the switching signals with average dwell time, and without the direct requirement of the states being available for feedback. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, a fuzzy switched decentralized state observer is designed and thus via it the immeasurable states are obtained. By applying the adaptive decentralized backstepping design technique, an adaptive fuzzy decentralized output-feedback tracking control approach is developed for the switched subsystems. The stability of the whole closed-loop system is proved by using the Lyapunov function and the average dwell-time methods. Satisfactory tracking performance is achieved under the switching signals with average dwell time. The simulation example is provided to indicate the effectiveness of the proposed control method.

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Metadata

Authors
Tong, S., Zhang, L., & Li, Y.
Venue
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Published
2016-01
Volume
46
Issue
1
Pages
37-47
ISSN
  • 2168-2216 (ISSN-L)
  • 2168-2232
OpenAlex
W2217539471
Cited by
539
References
0
FWCI
87.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones. https://app.cochat.ai/papers/10.1109/tsmc.2015.2426131
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Tong, S., Zhang, L., & Li, Y. (2016). Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2015.2426131

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