Title :
Fuzzy gain scheduling controllers based on fuzzy models
Author :
Zhao, Jun ; Wertz, Vincent ; Gorez, Raymond
Author_Institution :
Centre for Syst. Eng. & Appl. Mech., Univ. Catholique de Louvain, Belgium
Abstract :
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
Keywords :
control system synthesis; fuzzy control; large-scale systems; matrix algebra; nonlinear control systems; robust control; Takagi-Sugeno fuzzy models; complex nonlinear systems; design requirements; fuzzy gain scheduling controllers; fuzzy reasoning; fuzzy sets; linear input-output submodels; linear matrix inequality methods; model-based synthesis technique; Control system synthesis; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Robust control; Robust stability; Takagi-Sugeno model;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552621
