Relaxed T-S Fuzzy Control Design by Descriptor System Approach
In this paper, the descriptor system based concept is applied to the stabilization for a discrete T-S fuzzy system. The control input vector and state vector are combined to the descriptor system form which leads to fewer Lyapunov inequalities (lower computation demand) than traditional T-S fuzzy st...
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| Veröffentlicht in: | Applied Mechanics and Materials 2013-01, Vol.241-244, p.1180-1183 |
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| container_title | Applied Mechanics and Materials |
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| creator | Sun, Chung Hsun Yeh, Yun Chi |
| description | In this paper, the descriptor system based concept is applied to the stabilization for a discrete T-S fuzzy system. The control input vector and state vector are combined to the descriptor system form which leads to fewer Lyapunov inequalities (lower computation demand) than traditional T-S fuzzy stability criteria. Also, the non-parallel distributed compensation (non-PDC) and slack variables are adapted to relax the proposed stability conditions. Finally, the computation effectiveness the proposed stability criterion is demonstrated by a numerical example. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.241-244.1180 |
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| title | Relaxed T-S Fuzzy Control Design by Descriptor System Approach |
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