Adaptive multiagent control system for controlling object motion

Sheet feeding or delivering – Delivering – By pneumatic conveyor

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271195, 364557, B65H 2924, G01K 1500

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active

060271124

ABSTRACT:
A multi-agent control system controls a transport assembly for moving objects. The transport assembly is formed using sensors and actuators that are proximately coupled in physical space. The multi-agent control system includes a learning mechanism which takes advantage of the proximate coupling between the sensors and actuators. The learning mechanism improves system performance by making iterative changes to an interaction matrix that represents the organizational structure of the multi-agent control system. In operation, the learning mechanism makes iterative changes to several of the elements a.sub.ij, of the interaction matrix at one time, around a randomly chosen location (i,j) in the matrix. Changes to the interaction matrix continue to be made so long as the changes result in improved performance of the transport assembly. Advantageously, the learning mechanism enables the multi-agent control system to control the transport assembly without requiring knowledge of specific operating characteristics of the transport assembly.

REFERENCES:
patent: 4618292 (1986-10-01), Judgd et al.
patent: 4828434 (1989-05-01), Fairman et al.
patent: 4874273 (1989-10-01), Tokisue et al.
patent: 5398462 (1995-03-01), Berlin et al.
patent: 5634636 (1997-06-01), Jackson et al.
patent: 5682331 (1997-10-01), Berlin
patent: 5691921 (1997-11-01), Berlin
patent: 5803448 (1998-09-01), Stiel et al.
patent: 5913268 (1999-06-01), Jackson et al.
patent: 5921544 (1999-06-01), Benedict
patent: 5927203 (1999-07-01), Gieser et al.
Oliver Guenther, Tad Hogg and Bernardo A. Huberman, "Multiagent Learning for Controlling Smart Matter," in Proc. of the AAAI97 Workshop on Multiagent Learning, pp. 36-40, Jul., 1997 (also "Learning In Multiagent Control of Smart Matter," available on the Internet at http://www.parc.xerox.com/spl/groups/dynamics/www/beam-learning.html).
Tad Hogg and Bernardo A. Huberman, "Controlling Smart Matter," Los Alamos preprint available on the Web at http://xxx.lanl.gov/abs/cond-mat/9611024, Nov. 4, 1996.
Bernardo A. Huberman and Tad Hogg, "The Behavior of Computational Ecologies," in Huberman (editor) "The Ecology of Computation," Amsterdam: North-Holland. 77-115.
"MEMS Based Active Stabilization Of Structures," available on the Web at http://www.parc.xerox.com/spl/project/MEMS/structural-enhance.html, Jan. 13, 1997.

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