Scalble Data and Sensor Fusion via Multiple Agent Hybrid Systems

Authors:
Wolf Kohn;Anil Nerode;Jeffrey B. Remmel
Affiliations:
-;-;-
Venue:
Hybrid Systems V
Year:
1999

Citing 11
Cited 0

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Abstract

We address the problem of synchronizing estimates of plant state. The approach proposed in the study is unique because it does not attempt to transform the data to a common representation. Rather we establish a framework which we call the Multiple Agent Hybrid Estimation Architecture in which we allow heterogeneous data to flow between individual agents in the network to improve their individual estimates of the current plant state.