NDLI: A simulation tool to support the development of adaptive sampling algorithms for multiple autonomous underwater vehicles

Content Provider	IEEE Xplore Digital Library
Author	Cannell, C.J. Stilwell, D.J. Austin, J.A.
Copyright Year	2004
Description	Author affiliation: Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA (Cannell, C.J.; Stilwell, D.J.)
Abstract	This paper describes a computer simulation tool designed to aid in the development and evaluation of adaptive sampling algorithms for one or more autonomous underwater vehicles. The principal design goals of this tool are to efficiently assess adaptive sampling algorithms using data generated from oceanographic numerical models, and to automate the processes of uploading and managing oceanographic data within the simulation tool. Oceanographic data is represented using the computer and model independent network common data form format, a self-documenting data format, which is widely used within the oceanographic community. The simulation tool is developed in MATLAB and Simulink, which are standard modeling and simulation tools used by control systems engineers as well as researchers across a wide variety of engineering disciplines. Use of the network common data form enables the simulation tool to use oceanographic data from a variety of ocean modeling systems, while the use of MATLAB enables control algorithms and vehicle dynamics to be modular and easily modified.
Starting Page	127
Ending Page	133
File Size	1078790
Page Count	7
File Format	PDF
ISBN	0780385438
DOI	10.1109/AUV.2004.1431203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampling methods Underwater vehicles Computational modeling Mathematical model Algorithm design and analysis MATLAB Automotive engineering Computer simulation Numerical models Computer networks
Content Type	Text
Resource Type	Article

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