Controller design of uncertain nonlinear systems based on T-S fuzzy model |
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Authors: | Songtao ZHANG Shizhen BAI |
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Affiliation: | School of Management, Harbin University of Commerce, Harbin Heilongjiang 150076, China |
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Abstract: | A robust control for uncertain nonlinear systems based on T-S fuzzy model is discussed in this paper. First, a T-S fuzzy system is adopted to model the uncertain nonlinear systems. Then, for the system with input variables adopting standard fuzzy partitions, the efficient maximal overlapped-rules group (EMORG) is presented, and a new sufficient condition to check the stability of T-S fuzzy system with uncertainty is derived, which is expressed in terms of Linear Matrix Inequalities. The derived stability condition, which only requires a local common positive definite matrix in each EMORG, can reduce the conservatism and difficulty in existing stability conditions. Finally, a simulation example shows the proposed approach is effective. |
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Keywords: | Controller design Uncertain nonlinear systems T-S fuzzy model |
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