"This paper is aimed at observer based fuzzy control of nonlinear systems and shows a methodology of the controller and observer design. Sufficient conditions for robust control of nonlinear system described by Takagi-Sugeno fuzzy model are presented in the form of Linear Matrix Inequalities. Well known nonlinear benchmark problem of inverted pendulum is adopted to show the method. The system is modeled by Takagi-Sugeno (T-S) fuzzy model which consists of local linear models describing system in different areas of its state space. These local models are interpolated according to fuzzy membership functions. Control algorithm Parallel Distributed Compensation (PDC) uses for each local model a different controller, which is interpolated with the others in the same way as local linear models. Parametric uncertainties are assumed in control design to provide required level of robustness. The controller and observer design is formulated in the form of Linear Matrix Inequalities (LMIs), that can be easily num"@en . . "6"^^ . . . . "2004-06-06+02:00"^^ . "2"^^ . . "Polansk\u00FD, Michal" . . "OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS" . . "PDC Controller, Takagi-Sugeno Fuzzy Modeling, Robust Control, Linear Matrix Inequalities, Observer"@en . . "Kouty nad Desnou" . "577325" . "V, Z(MSM 260000013)" . "OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS"@en . "OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS" . . . . "RIV/00216305:26220/04:PU43636" . "Vav\u0159\u00EDn, Petr" . "OBSERVER BASED ROBUST FUZZY CONTROL ALGORITHM FOR UNCERTAIN SYSTEMS"@en . "26220" . . . . . "Pardubice" . . "Univerzita Pardubice" . "Proceedings of the 6th International Scientific - Technical Conference Process Control 2004" . . . "80-7194-662-1" . "This paper is aimed at observer based fuzzy control of nonlinear systems and shows a methodology of the controller and observer design. Sufficient conditions for robust control of nonlinear system described by Takagi-Sugeno fuzzy model are presented in the form of Linear Matrix Inequalities. Well known nonlinear benchmark problem of inverted pendulum is adopted to show the method. The system is modeled by Takagi-Sugeno (T-S) fuzzy model which consists of local linear models describing system in different areas of its state space. These local models are interpolated according to fuzzy membership functions. Control algorithm Parallel Distributed Compensation (PDC) uses for each local model a different controller, which is interpolated with the others in the same way as local linear models. Parametric uncertainties are assumed in control design to provide required level of robustness. The controller and observer design is formulated in the form of Linear Matrix Inequalities (LMIs), that can be easily num" . . "[33D97623862D]" . . "RIV/00216305:26220/04:PU43636!RIV11-MSM-26220___" . "2"^^ .