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Fuzzy model-based control of complex plants
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DOI：10.1109/91.728444.png)
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In the field of fuzzy modeling, the Takagi-Sugeno fuzzy model has been used to approximate accurately the dynamics of complex plants. This paper addresses two control design problems associated with state-space realizations of such fuzzy models. First, we treat the stability robustness of fuzzy model-based controllers against modeling uncertainty. Second, we develop observer-based control schemes and further investigate the behavior of estimated-state feedback. In both cases, we provide sufficient conditions that guarantee stability of the closed loop. The results are demonstrated on the fuzzy model of a gas furnace process.
Keyword:
fuzzy models
observers
robustness
state-space methods
uncertainty
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11.9
论文数:
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被引数:
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