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Robust stabilization for uncertain T–S fuzzy singular system

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Abstract

In this paper, the robust stabilization for uncertain Takagi–Sugeno (T–S) fuzzy singular system with norm-bounded time-varying uncertainties in both the state and input matrices is studied. By using the Lyapunov stability theory, a sufficient condition in the form of the linear matrix inequality for robust stability is given. Moreover, some sufficient conditions of robust stabilization based on the state and output feedback controllers are presented respectively.

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Acknowledgements

This work is supported by National Natural Science Foundation of China under Grant No. 11371013.

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  1. Department of Mathematics and Physics Science, Suzhou University of Science and Technology, Suzhou, 215011, China

    Jianrong Wu

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  1. Jianrong Wu
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Correspondence to Jianrong Wu.

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Wu, J. Robust stabilization for uncertain T–S fuzzy singular system. Int. J. Mach. Learn. & Cyber. 7, 699–706 (2016). https://doi.org/10.1007/s13042-014-0281-x

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  • DOI: https://doi.org/10.1007/s13042-014-0281-x

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