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Robust nonlinear variable selective control for networked systems

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  • Behrooz Rahmani

Abstract

This paper is concerned with the networked control of a class of uncertain nonlinear systems. In this way, Takagi–Sugeno (T-S) fuzzy modelling is used to extend the previously proposed variable selective control (VSC) methodology to nonlinear systems. This extension is based upon the decomposition of the nonlinear system to a set of fuzzy-blended locally linearised subsystems and further application of the VSC methodology to each subsystem. To increase the applicability of the T-S approach for uncertain nonlinear networked control systems, this study considers the asynchronous premise variables in the plant and the controller, and then introduces a robust stability analysis and control synthesis. The resulting optimal switching-fuzzy controller provides a minimum guaranteed cost on an H2 performance index. Simulation studies on three nonlinear benchmark problems demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Behrooz Rahmani, 2016. "Robust nonlinear variable selective control for networked systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(13), pages 3180-3192, October.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:13:p:3180-3192
    DOI: 10.1080/00207721.2015.1107150
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