| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 381320 | Engineering Applications of Artificial Intelligence | 2008 | 13 Pages |
Abstract
This work presents a robust pole placement in an LMI region for Takagi–Sugeno (TS) (Takagi T., Sugeno M., 1985. Fuzzy identification of systems and its application to modelling and control. IEEE Transactions on SMC 15 (1), 116–132.) fuzzy models. The objective is to find a set of linear matrix inequalities in order to ensure that the linear model poles of the nonlinear TS model 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
P.-F. Toulotte, S. Delprat, T.-M. Guerra, J. Boonaert,