Abstract:
This paper presents a method for identifying dynamic models of Autonomous Underwater Vehicles (AUV) from logged data and a physically motivated model structure. Such mode...Show MoreMetadata
Abstract:
This paper presents a method for identifying dynamic models of Autonomous Underwater Vehicles (AUV) from logged data and a physically motivated model structure. Such models are instrumental for model-based control system design, but also for integrated navigation systems. We motive our work from the perspective of developing second generation integrated navigation systems, which use a sensor fusion approach to merge external information with a dynamic model for purposes of redundancy, integrity, and for fault detection and isolation.
Published in: 2007 10th International Conference on Information Fusion
Date of Conference: 09-12 July 2007
Date Added to IEEE Xplore: 26 December 2007
CD:978-0-662-45804-3