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The Center for Control, Dynamical Systems, and Computation University of California at Santa Barbara

Summary: The Center for Control, Dynamical Systems, and Computation
University of California at Santa Barbara
Spring 2009 Seminar Series
Adaptive Networks
Ali H. Sayed
UCLA Electrical Engineering
Friday, May 8, 2009 3:00 - 4:00pm WEBB 1100
Abstract: Distributed networks linking sensors and actuators will form the backbone of future data commu-
nication and control networks. Applications will range from sensor networks to precision agriculture, environ-
ment monitoring, disaster relief management, smart spaces, target localization, as well as medical applications.
In all these cases, the distribution of the nodes in the field yields spatial diversity, which should be exploited
alongside the temporal dimension in order to enhance the robustness of the processing tasks and improve the
probability of signal and event detection. Distributed processing techniques allow for the efficient extraction of
temporal and spatial information from data collected at such distributed nodes by relying on local cooperation
and data processing. This talk describes recent developments in distributed processing over adaptive networks.
The presentation covers adaptive algorithms that allow neighboring nodes to communicate with each other. At
each node, estimates exchanged with neighboring nodes are fused and promptly fed into the local adaptation
rules. In this way, an adaptive network is obtained where the structure as a whole is able to respond in real-time
to the temporal and spatial variations in the statistical profile of the data. Different adaptation or learning rules


Source: Akhmedov, Azer - Department of Mathematics, University of California at Santa Barbara


Collections: Mathematics