Robust Stabilization Control for Takagi-Sugeno Fuzzy Systems with Uncertainties
Author:
Affiliation:
1. Graduate School of Science and Engineering, Aoyama Gakuin University
2. Department of Science and Engineering, Aoyama Gakuin University
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/36/1/36_512/_pdf
Reference13 articles.
1. [1] J. Yoneyama: “New Conditions for Stability and Stabilization of Takagi-Sugeno Fuzzy Systems,” Proc. of the 2017 11th Asian Control Conf. (ASCC), pp. 2154-2159, 2017.
2. [2] R. Márquez, T. M. Guerra, M. Bernal, and A. Kruszewski: “A nonquadratic Lyapunov functional for H∞ control of nonlinear systems via Takagi-Sugeno fuzzy models,” J. of the Franklin Institute, Vol.353, No.4, pp. 781-796, 2016.
3. [3] K. Tanaka and M. Sugeno: “Stability analysis and design of fuzzy control systems,” Fuzzy Set and Systems, Vol.45, No.2, pp. 135-156, 1992.
4. [4] K. Tanaka, T. Hori, and H. O. Wang: “A multiple Lyapunov function approach to stabilization of fuzzy control systems,” IEEE Trans. on Fuzzy Systems, Vol.11, No.4, pp. 582-589, 2003.
5. [5] J. Yoneyama: “Robust H∞ control analysis and synthesis for Takagi-Sugeno general uncertain fuzzy systems,” Fuzzy Sets and Systems, Vol.157, No.16, pp. 2205-2223, 2006.
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