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• W2404578112 abstract "Present study presents an indirect model reference fuzzy controller which benefits from a reference model which is itself fuzzy rather than a linear reference model. The use of a fuzzy reference model makes it possible to have more degrees of freedom in the choice of the reference model and to design a more appropriate reference trajectory for the system. The Stability analysis of the resulting system including the adaptation laws are proved via selecting an appropriate Lyapunov function. Designed for SISO nonlinear systems subjected to variable dynamics and also disturbances, the method is tested on chaotic systems in aforementioned conditions. Considering the facts that the use of fuzzy reference model adds more degrees of freedom to the system and is more flexible, the proposed control structure outperforms existing indirect adaptive model reference fuzzy controllers which use linear reference models in their structures." @default.
• W2404578112 created "2016-06-24" @default.
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• W2404578112 date "2016-04-01" @default.
• W2404578112 modified "2023-09-26" @default.
• W2404578112 title "Fuzzy reference model for adaptive indirect Takagi-Sugeno model reference control" @default.
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• W2404578112 doi "https://doi.org/10.1109/icnsc.2016.7479009" @default.
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