Observer-based decentralized adaptive control for large-scale nonlinear systems with mixed dynamic interaction

The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to...

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Published inJournal of the Franklin Institute Vol. 359; no. 1; pp. 392 - 414
Main Authors Yang, Wenjing, Xia, Jianwei, Shen, Hao, Chen, Guoliang, Wei, Weibo
Format Journal Article
LanguageEnglish
Published Elmsford Elsevier Ltd 01.01.2022
Elsevier Science Ltd
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Online AccessGet full text
ISSN0016-0032
1879-2693
0016-0032
DOI10.1016/j.jfranklin.2021.10.025

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Abstract The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to tackle unknown nonlinear function with nonstrict-feedback structure. Then, by combining adaptive and backstepping technology, the proper output feedback controller is designed. Meanwhile, a fuzzy state observer is proposed to estimate the unmeasurable states. The proposed controller could guarantee that all the signals of the resulting closed-loop systems are bounded. Finally, the applicability of the proposed controller is well carried out by a simulation example.
AbstractList The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to tackle unknown nonlinear function with nonstrict-feedback structure. Then, by combining adaptive and backstepping technology, the proper output feedback controller is designed. Meanwhile, a fuzzy state observer is proposed to estimate the unmeasurable states. The proposed controller could guarantee that all the signals of the resulting closed-loop systems are bounded. Finally, the applicability of the proposed controller is well carried out by a simulation example.
Author Xia, Jianwei
Shen, Hao
Yang, Wenjing
Chen, Guoliang
Wei, Weibo
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Snippet The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction...
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SubjectTerms Adaptive control
Closed loop systems
Control systems design
Controllers
Feedback control
Feedback control systems
Fuzzy logic
Nonlinear control
Nonlinear systems
Output feedback
State observers
Title Observer-based decentralized adaptive control for large-scale nonlinear systems with mixed dynamic interaction
URI https://dx.doi.org/10.1016/j.jfranklin.2021.10.025
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