H{\inf} observer-based decentralised fuzzy control design for nonlinear interconnected systems: an application to vehicle dynamics

Abstract : In this study, a decentralised output learning control strategy for a class of nonlinear interconnected systems is studied. Based on Takagi-Sugeno fuzzy (TS) model to approximate the considered interconnected nonlinear systems, a decentralised observer-based control scheme is designed to override the external disturbances such that theH∞ performance is achieved. The appealing attributes of this approach include: (1) the closed-loop system exhibits a robustness against nonlinear interconnections and external disturbance, (2) by one-step procedure, the gainmatrices of observer and controller are obtained on a single step. In simulation results, the controller design is evaluated on the steering stability of a carwhere the nonlinear model describes the side slip, roll and yaw motions of the automotive vehicle equipped with four-wheel-steering and active suspension.
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Article dans une revue
International Journal of Systems Science, Taylor & Francis, 2017, 〈10.1080/00207721.2016.1266527〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01495369
Contributeur : Hervé Guéguen <>
Soumis le : vendredi 24 mars 2017 - 19:00:00
Dernière modification le : mercredi 16 mai 2018 - 11:23:51

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Chedia Latrach, Mourad Kchaou, Hervé Guéguen. H{\inf} observer-based decentralised fuzzy control design for nonlinear interconnected systems: an application to vehicle dynamics. International Journal of Systems Science, Taylor & Francis, 2017, 〈10.1080/00207721.2016.1266527〉. 〈hal-01495369〉

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