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Decentralized adaptive output feedback fuzzy controller for a class of large-scale nonlinear systems

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Abstract

In the previous work of Huang et al., a coordinated decentralized hybrid adaptive output feedback fuzzy control scheme of large-scale nonlinear systems is obtained predicated upon this prerequisite assumption that the local controllers can share the a priori information about their individual reference models. In this note, we concentrate in the absence of the coordination assumption on developing a classical decentralized combined indirect and direct adaptive fuzzy controller for a class of uncertain large-scale nonlinear systems. The output feedback and adaptation mechanisms proposed for each subsystem hinges just upon its individual output, regardless of any other output reference. Neither the famous strictly positive real (SPR) condition nor a high-gain observer (HGO) is required to realize the overall output feedback algorithm. The tracking errors of the closed-loop large-scale system are shown to converge to tunable neighborhoods of the origin. Simulation results on correlated inverted pendulums verify the validity of the decentralized controller modification.

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Authors and Affiliations

  1. Key Laboratory of Highway Engineering (Changsha University of Science & Technology), Ministry of Education, Changsha, 410114, P.R. China

    Yi-Shao Huang

  2. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, 410004, P.R. China

    Yi-Shao Huang

  3. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P.R. China

    De-Qun Zhou

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  1. Yi-Shao Huang
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  2. De-Qun Zhou
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Correspondence to Yi-Shao Huang.

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Huang, YS., Zhou, DQ. Decentralized adaptive output feedback fuzzy controller for a class of large-scale nonlinear systems. Nonlinear Dyn 65, 85–101 (2011). https://doi.org/10.1007/s11071-010-9876-2

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  • DOI: https://doi.org/10.1007/s11071-010-9876-2

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