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Showing 1 to 4 of 4 for “"Topology Identification"”.

  1. Fast and Scalable Power System Learning, Analysis, and Planning

    … we first have tackled power distribution system topology identification, since knowing the topology of the power grid is a crucial piece in any meaningful optimization and control task. The topology identification presented in this work is based on the idea of emph{prob-to-learn}, which is …

    vt Repository record for Fast and Scalable Power System Learning, Analysis, and Planning (opens in a new tab)

  2. l0 Sparse signal processing and model selection with applications

    … noise. The second uses gL0LS-CD to recover the topology of a sparsely connected network of dynamic systems. Both applications use Laguerre basis functions for model expansion. The role of model selection in sparse signal processing is widely neglected in literature. The tuning/penalty parameter …

    unsw Repository record for l0 Sparse signal processing and model selection with applications (opens in a new tab)

  3. Stochastic processes in T-cell signaling

    … for regulating such stochastic transitions. The identification of these critical components for network stability not only pinpoints key deleterious protein mutations, but also helps intelligently select drug targets. The semi-analytical method we derived using large-deviation theory and calculus …

    mit Repository record for Stochastic processes in T-cell signaling (opens in a new tab)

  4. Physically-Based Realizable Modeling and Network Synthesis of Subscriber Loops Utilized in DSL Technology

    … of the local loop structure and precise identification of the cable parameters. These cables are the main components of the loop and are typically comprised of multi-conductor twisted pair type currently being used on existing telephone subscriber loops. This system identification problem …

    vt Repository record for Physically-Based Realizable Modeling and Network Synthesis of Subscriber Loops Utilized in DSL Technology (opens in a new tab)