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observer-based decentralised fuzzy control design for nonlinear interconnected systems: an application to vehicle dynamics.

Authors :
Latrach, Chedia
Kchaou, Mourad
Guéguen, Hervé
Source :
International Journal of Systems Science. May2017, Vol. 48 Issue 7, p1485-1495. 11p.
Publication Year :
2017

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 theperformance 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 gain matrices of observer and controller are obtained on a single step. In simulation results, the controller design is evaluated on the steering stability of a car where the nonlinear model describes the side slip, roll and yaw motions of the automotive vehicle equipped with four-wheel-steering and active suspension. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00207721
Volume :
48
Issue :
7
Database :
Academic Search Index
Journal :
International Journal of Systems Science
Publication Type :
Academic Journal
Accession number :
121519897
Full Text :
https://doi.org/10.1080/00207721.2016.1266527