Abstract
This paper presents a design method of robust passive controllers for continuous-time Takagi-Sugenon (T-S) fuzzy systems. The parametric uncertainty is assumed to be norm bounded. By applying the Lyapunov stability theory, a sufficient condition on the existence of robust passive controllers is given. With the help of linear matrix inequality (LMI), robust passive controllers are designed such that the closed-loop system is robust stable and satisfies the passive performance. Furthermore, a convex optimization problem with LMI constraints is formulated to design robust passive controller with the maximum dissipation rate. A numerical example demonstrates the validity of this method.
Keywords: T-S fuzzy systems, robust control, passive performance, linear matrix inequalities.
This work was supported by Program for Changjiang Scholars and Innovative Research Team in University.
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© 2006 Springer-Verlag Berlin Heidelberg
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Li, Y., Fu, Y., Duan, G. (2006). Robust Passive Control for T-S Fuzzy Systems. 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_19
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DOI: https://doi.org/10.1007/978-3-540-37275-2_19
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-37275-2
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