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Foundations of Data Fusion for Automation*
S. Sitharama Iyengar
Florida International University
Shivakumar Sastry
The University of Akron
N. Balakrishnan
Carnegie Mellon University Indian Institute of Science
System Characteristics • Operational Problems • Benefits of Data Fusion
Representing System Structure • Representing System Behavior
16.4 Security Management for Discrete Automation
Goal-Seeking Formulation • Applying Data Fusion
16.1 Introduction
Data fusion is a paradigm for integrating data from multiple sources to synthesize new information such that the whole is greater than the sum of its ...
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