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Affine matched parameterization method for T-S fuzzy systems

发布时间:2021-03-05 14:21:06 发布人:向川  审核人:李天镇

报告题目:Affine matched parameterization method for T-S fuzzy systems




This presentation is related with a new parallel distributed compensation controller design approach for T–S (Takagi–Sugeno) fuzzy control systems with affine matched membership functions in the system and controller. In the new fuzzy control, affine transformed membership functions are adopted by scaling and biasing the original membership functions of the system. Stabilization and performance criterion of the closed-loop T–S fuzzy systems are obtained through a new parameterized linear matrix inequality which is rearranged by affine matched membership functions. The conservativeness of stabilization condition for the T–S fuzzy system is significantly relaxed by utilizing the constraints condition of the controllers membership functions, which is determined from the difference of each transformed membership function. In addition, the controller gain is reconstructed by a decision variable separation technique with two different free weighting matrices without any scaling parameter. The superiority of the proposed method is verified through numerical examples.


Sangmoon Lee received the B.S. degree in electronics engineering from Kyungpook National University, Daegu, South Korea, in 1999, the M.S and Ph.D. degrees in electronics engineering from POSTECH, Pohang, South Korea, in 2001 and 2006, respectively. He is currently an Associate Professor with the School of Electronics Engineering, Kyungpook National University. His main research interests include cyber physical systems control, networked control systems, nonlinear systems, fuzzy systems, robust control, model predictive control, and its industrial applications.