International Journal of Control, Automation and Systems 2011; 9(6): 1103-1110
Published online December 2, 2011
https://doi.org/10.1007/s12555-011-0611-7
© The International Journal of Control, Automation, and Systems
In this paper, the output-feedback control for stabilizing the uncertain nonlinear system is proposed. For achieving the robust stability, we deal with the parametric uncertainties of the concerned system which is based on the Takagi-Sugeno (T-S) fuzzy model. Also, we derive the observer-based models preserving the property and structure of the uncertainties. The sufficient conditions for output feedback stabilizing controller designs are given in terms of solutions to a set of linear matrix inequali-ties (LMIs). The simulation results for variable speed wind power (VSWP) system are demonstrated to visualize the feasibility of the proposed method.
Keywords Linear matrix inequalities (LMIs), observer-based control, parametric uncertainties, Takagi-Sugeno (T-S) fuzzy model, variable speed wind power (VSWP) system.
International Journal of Control, Automation and Systems 2011; 9(6): 1103-1110
Published online December 1, 2011 https://doi.org/10.1007/s12555-011-0611-7
Copyright © The International Journal of Control, Automation, and Systems.
Hwa Chang Sung, Jin Bae Park*, and Young Hoon Joo
Yonsei University
In this paper, the output-feedback control for stabilizing the uncertain nonlinear system is proposed. For achieving the robust stability, we deal with the parametric uncertainties of the concerned system which is based on the Takagi-Sugeno (T-S) fuzzy model. Also, we derive the observer-based models preserving the property and structure of the uncertainties. The sufficient conditions for output feedback stabilizing controller designs are given in terms of solutions to a set of linear matrix inequali-ties (LMIs). The simulation results for variable speed wind power (VSWP) system are demonstrated to visualize the feasibility of the proposed method.
Keywords: Linear matrix inequalities (LMIs), observer-based control, parametric uncertainties, Takagi-Sugeno (T-S) fuzzy model, variable speed wind power (VSWP) system.
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