Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: An LMI approach
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Robust fuzzy H∞ control for uncertain nonlinear systems via state feedback: an LMI approach
Fuzzy Sets and Systems
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion
Information Sciences: an International Journal
Information Sciences: an International Journal
Dynamic output feedback controller design for fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust H∞ static output feedback control of fuzzy systems: an ILMI approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
Enhancement of multi-objective control performance via switching
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Switching fuzzy dynamic output feedback H∞ control for nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper offers a design procedure for a robust pole-placement problem with H"~ objective via dynamic output feedback control for a class of uncertain fuzzy systems. Takagi-Sugeno (T-S) fuzzy system is used for modeling, and dynamic parallel distributed compensation (DPDC) technique is employed in the controller design. Solutions to the problems are derived in terms of a family of linear matrix inequalities (LMIs), and uncertainties are directly considered in the conditions that determine the controller. Effectiveness of the proposed design technique is illustrated by simulation for an inverted pendulum system.