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Industrial Internet of Things: Design and Stabilization of Nonlinear Automation Systems

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Abstract

A fuzzy model-based method for Internet-based control of nonlinear automation systems is presented, here. In this way, the nonlinear system is decomposed to a set of fuzzy-blended locally linearized subsystems, and further the previously proposed variable selective control methodology is applied to each subsystem. In order to deal with Internet effects, real-time control signals are constructed for every entry of pre-specified vector of time delays, which is chosen based on the presumed upper-bound of the network time delay. Using the idea of parallel distributed compensation strategy and by solving linear matrix inequalities, the closed-loop stability of the overall Internet-based control system is guaranteed. Simulation studies on two well-known benchmark problems demonstrate the effectiveness of the proposed method.

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Authors and Affiliations

  1. Mechanical Engineering Department, Yasouj University, Yasouj, Iran

    Behrooz Rahmani

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  1. Behrooz Rahmani
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Correspondence to Behrooz Rahmani.

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Rahmani, B. Industrial Internet of Things: Design and Stabilization of Nonlinear Automation Systems. J Intell Robot Syst 86, 311–323 (2017). https://doi.org/10.1007/s10846-016-0426-0

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  • DOI: https://doi.org/10.1007/s10846-016-0426-0

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