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Robust fault detection for vehicle lateral dynamics: Azonotope-based set-membership approach

Author
Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
21st IEEE International Conference on Intelligent Transportation Systems
Date of publication
2018
Presentation's date
2018-11-04
Book of congress proceedings
21st IEEE International Conference on Intelligent Transportation Systems
First page
1364
Last page
1369
DOI
10.1109/itsc.2018.8569754
Repository
http://hdl.handle.net/2117/129891 Open in new window
Abstract
In this work, a model-based fault detection layoutfor vehicle lateral dynamics system is presented. The majorfocus in this study is on the handling of model uncertainties andunknown inputs. In fact, the vehicle lateral model is affectedby several parameter variations such as longitudinal velocity,cornering stiffnesses coefficients and unknown inputs like windgust disturbances. Cornering stiffness parameters variation isconsidered to be unknown but bounded with known compactset. Their effect is a...
Citation
Puig, V. Robust fault detection for vehicle lateral dynamics: Azonotope-based set-membership approach. A: International IEEE Conference on Intelligent Transportation Systems. "21st IEEE International Conference on Intelligent Transportation Systems". 2018, p. 1364-1369.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

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