April 2016
Intermediate to advanced
764 pages
28h 12m
English
16 Foundations of Data Fusion for Automation S. Sitharama Iyengar, Shivakumar Sastry, and N. Balakrishnan
Introduction • Automation Systems • Data Fusion Foundations • Security Management for Discrete Automation • Conclusions • Acknowledgments • References
17 Measurement-Based Statistical Fusion Methods for Distributed Sensor Networks Nageswara S.V. Rao
Introduction • Classical Fusion Problems • Generic Sensor Fusion Problem • Empirical Risk Minimization • Statistical Estimators • Applications • Performance of Fused System • Metafusers • Conclusions • Acknowledgment • References
18 Soft Computing Techniques Richard R. Brooks
Problem Statement • Genetic Algorithms • Simulated Annealing • TRUST • Tabu Search ...