Abstract
A robust controller design method based on the concept of fuzzy region is presented for Takagi-Sugeno (T-S) fuzzy systems with parametric uncertainties. The uncertain T-S fuzzy model is converted into uncertain T-S fuzzy region model. A relaxed sufficient condition is derived for robust stabilization by using Lyapunov function approach in the form of linear matrix inequalities (LMIs). Comparing with other similar conditions, the difficulty of solving LMIs is greatly reduced in this method. The efficiency of the method is illustrated through the simulation of a numerical uncertain fuzzy system.
This work was supported by Jiangsu Province Hi-tech Plans(Projects) BG2005014.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ji, Z., Zhou, Y., Shen, Y. (2006). Robust Stabilization of Takagi-Sugeno Fuzzy Systems with Parametric Uncertainties Using Fuzzy Region Concept. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_20
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DOI: https://doi.org/10.1007/978-3-540-37275-2_20
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