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Decentralized adaptive fuzzy control of large-scale nonaffine nonlinear systems by state and output feedback

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Abstract

This paper develops two novel decentralized adaptive fuzzy control methods of large-scale nonaffine uncertain nonlinear systems. By using a fuzzy inference system and implicit function theorem, a decentralized direct adaptive state feedback fuzzy control algorithm is firstly presented for a class of large-scale nonaffine continuous-time systems. By using a high-gain observer to reconstruct the system states, an extension is made to a decentralized output feedback control of unmeasurable interactive nonaffine systems. The decentralized adaptive fuzzy control schemes via state and output feedback guarantee the stability of the closed-loop large-scale systems. The effectiveness of the developed approaches is demonstrated through simulation results of a platoon of vehicles within an automated highway system.

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Acknowledgements

This project was supported by the National Natural Science Foundation of China (61104014, 60425310, 60974045, 60964004), the Open Fund of the Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education (kfj110101), and the China Postdoctoral Science Foundation (20110491270, 20110491272).

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Authors and Affiliations

  1. Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education, Changsha, 410004, P.R. China

    Yi-Shao Huang

  2. School of Information Science and Engineering, Central South University, Changsha, 410083, P.R. China

    Yi-Shao Huang, Min Wu, Yong He & Ling-Li Yu

  3. School of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang, 330013, P.R. China

    Qi-Xin Zhu

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  1. Yi-Shao Huang
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  2. Min Wu
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  3. Yong He
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  4. Ling-Li Yu
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  5. Qi-Xin Zhu
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Correspondence to Yi-Shao Huang.

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Huang, YS., Wu, M., He, Y. et al. Decentralized adaptive fuzzy control of large-scale nonaffine nonlinear systems by state and output feedback. Nonlinear Dyn 69, 1665–1677 (2012). https://doi.org/10.1007/s11071-012-0377-3

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  • DOI: https://doi.org/10.1007/s11071-012-0377-3

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