Robust pole placement in LMI region for Takagi-Sugeno models: application to vehicle spacing control
| Authors: | Delprat S., University of Valenciennes, LAMIH UMR CNRS 8530, France
Toulotte P.F., SID, Ecole des Mines de Douai, France
Guerra T.M., University of Valenciennes, LAMIH UMR CNRS 8530, France
Boonaert J., SID, Ecole des Mines de Douai, France |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Fuzzy Control: Stability |
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| Keywords: | Fuzzy control, Non linear control, Robustness, Vehicle control. |
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Abstract
Robust pole placement in a LMI region for Takagi-Sugeno (Takagi & Sugeno 1985) fuzzy models is presented. The objective is to find a set of Linear Matrix Inequalities in order to ensure that the linear models poles remain in a specified region of the complex plane, even in presence of model uncertainties. As an illustration, the obtained conditions are applied to the spacing policy control of an automated electric vehicle. Simulation and real time results are presented.
