Now showing items 1-4 of 4
Uncertainty in Complex Dynamical Networks: Modeling, Estimation, and Design
As modern infrastructure networks become more and more complex and intricate, new research problems concerning network dynamics are arising (both in particular in application domains, and more broadly in systems and control ...
MACHINE LEARNING-INSPIRED HIGH-PERFORMANCE AND ENERGY-EFFICIENT HETEROGENEOUS MANYCORE CHIP DESIGN
CPU-GPU based heterogeneous manycore architecture is expected to be the dominant computing platform for many emerging application domains including artificial intelligence, bio-computing and big data analytics. This ...
Sparse Sensing and Actuation in Stochastic Networks
The two main ideas that are discussed in this dissertation are sparse sensing and actuation in stochastic networks. In the area of sparse sensing, the flag HMM is developed. The flag HMM is comprised of a structured ...
APPLICATIONS OF, AND ENHANCEMENTS TO, FINITE-DIFFERENCE-BASED SOLUTIONS TO PROBLEMS IN ELECTROMAGNETICS
We describe how the analytic field propagation (AFP) technique can be coupled with a total-field/scattered-field (TFSF) boundary to obtain a novel implementation of a "gen-eralized" total-field/scattered-field (G-TFSF) ...