Abstract
In this paper, we have proposed a new adaptive fuzzy control algorithm and the regulation problem based on Takagi-Sugeno fuzzy model. The regulation problem for the uncertain SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the parameter choosing considering the approximation error due to the fuzzy modeling is proved. Some numerical examples are presented to verify the effectiveness of the proposed methods. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Park, C. W., Kim, Y. O., & Yi, C. H. (2008). Robust and adaptive fuzzy feedback linearization regulator design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5227 LNAI, pp. 476–483). https://doi.org/10.1007/978-3-540-85984-0_57
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