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approach to T-S fuzzy controller for limiting reconstruction errors

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  • Hugang Han

Abstract

In this article, the reconstruction error between a real system to be controlled and its Takagi–Sugeno (T-S) fuzzy model is considered in the context of control system design. Accordingly, we propose an H∞ approach to an adaptive controller that consists of two parts: one is obtained by solving certain linear matrix inequalities (fixed part) and the other is acquired using a fuzzy approximator in which the related parameters are tuned by an adaptive law (variable part). The proposed controller can guarantee a convergent and uniformly bounded control state while maintaining the stability of all the signals involved.

Suggested Citation

  • Hugang Han, 2014. "approach to T-S fuzzy controller for limiting reconstruction errors," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(3), pages 399-406.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:3:p:399-406
    DOI: 10.1080/00207721.2012.724094
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