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2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
A large class of nonlinear systems can be well approximated by Takagi-Sugeno fuzzy models, for which methods and algorithms have been developed to analyze their stability and to design observers and controllers. However, results obtained for Takagi-Sugeno fuzzy models are in general not directly applicable to the original nonlinear system. In this paper, we investigate what conclusions can be drawn when an observer-based controller is designed for an approximate model and then applied to thedoi:10.1109/aqtr.2010.5520922 fatcat:uxx6h4f6jnfd3m2f422brawyl4