Fuzzy gain scheduling controllers based on fuzzy models

Takagi-Sugeno fuzzy models provide an effective representation of complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear input-output submodels. Based on such models, fuzzy gain scheduling controllers can be sought by means of linear matrix inequality (LMI) methods. This systematic model-based synthesis technique results in fuzzy control systems with guaranteed stability and robustness. Moreover, some particular design requirements considering implementation of fuzzy controllers are also discussed in this paper.