Combined observer-controller synthesis for uncertain dynamic systems
IEEE Transactions on Systems, Man and Cybernetics
Automatica (Journal of IFAC)
Static output feedback controller design for fuzzy systems: An ILMI approach
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Information Sciences: an International Journal
LMI static output-feedback design of fuzzy power system stabilizers
Expert Systems with Applications: An International Journal
Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
Fuzzy Sets and Systems
Conditions of output stabilization for nonlinear models in the Takagi--Sugeno's form
Fuzzy Sets and Systems
Fuzzy adaptive output feedback control for MIMO nonlinear systems
Fuzzy Sets and Systems
Output tracking control of MIMO fuzzy nonlinear systems using variable structure control approach
IEEE Transactions on Fuzzy Systems
Stabilization of uncertain fuzzy time-delay systems via variable structure control approach
IEEE Transactions on Fuzzy Systems
LMI-Based Nonlinear Fuzzy Observer-Controller Design for Uncertain MIMO Nonlinear Systems
IEEE Transactions on Fuzzy Systems
Brief Variable structure output feedback control design for a class of uncertain dynamic systems
Automatica (Journal of IFAC)
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Based on the variable structure system theory, an output feedback fuzzy control design method is developed for a class of uncertain nonlinear systems that can be represented by a T-S (Takagi-Sugeno) fuzzy model. The uncertain fuzzy systems under consideration may have mismatched uncertainties in the state matrix. As the local controller a compensator-based sliding mode output feedback controller with a nonlinear discontinuous term is used. In terms of linear matrix inequalities (LMIs), a sufficient condition is derived for the existence of the fuzzy controller guaranteeing a stable sliding motion. It is shown that the compensator gain and the switching surface parameter matrix can be characterized in terms of the solution of the LMI existence condition. Finally, an LMI-based design algorithm and numerical design examples are given.