NDLI: Team optimization of cooperating systems: application to maximal area coverage

Content Provider	IEEE Xplore Digital Library
Author	Jae-Byung Jung El-Sharkawi, M.A. Anderson, G.M. Miyamoto, R.T. Marks II, R.J. Fox, W.L.J. Eggen, C.J.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA (Jae-Byung Jung)
Abstract	The composite effort of the system team, rather, is significantly more important than a single player's individual performance. We consider the case wherein each player's performance is tuned to result in maximal team performance for the specific case of maximal area coverage (MAC). The approach is first illustrated through solution of MAC by a fixed number of deformable shapes. An application to sonar is then presented. Here, sonar control parameters determine a range-depth area of coverage. The coverage is also affected by known but uncontrollable environmental parameters. The problem is to determine K sets of sonar ping parameters that result in MAC. The forward problem of determining coverage given control and environmental parameters is computationally intensive. To facilitate real time cooperative optimization among a number of such systems, the sonar input-output is captured in a feedforward layered perceptron neural network.
Sponsorship	Int. Neural Network Soc.
Starting Page	2212
Ending Page	2217
File Size	482164
Page Count	6
File Format	PDF
ISBN	0780370449
ISSN	10987576
DOI	10.1109/IJCNN.2001.938510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Control systems Neural networks Computer architecture Physics Laboratories USA Councils Sonar applications Real time systems Feedforward systems
Content Type	Text
Resource Type	Article

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