DocumentCode
2412702
Title
Decentralized learning control
Author
Mesbah, Mostefa ; Su, Renjeng
Author_Institution
Dept. of Electr. Eng., Colorado Univ., Boulder, CO, USA
fYear
1992
fDate
1992
Firstpage
1327
Abstract
The theoretical results reported are motivated by the problem of maneuvering common objects by multiple robots. The authors show that learning control is possible in a decentralized configuration. Sufficient conditions are given for decentralized learning control convergence. The results are illustrated with a well-known example of interconnected pendulums given by Siljak
Keywords
decentralised control; large-scale systems; learning (artificial intelligence); path planning; pendulums; robots; tracking; convergence; decentralized learning control; high-precision signal tracking; interconnected pendulums; maneuvering common objects; multiple robots; uncertain interconnections; Adaptive control; Centralized control; Communication system control; Communication system traffic control; Control systems; Convergence; Distributed control; Robots; Sensor systems; Sufficient conditions; Tracking loops;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371497
Filename
371497
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