Blar i NTNU Open på forfatter "Abooshahab, Mohammad Ali"

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    • A Kalman-filtering derivation of simultaneous input and state estimation 

      Bitmead, Robert R.; Hovd, Morten; Abooshahab, Mohammad Ali (Journal article; Peer reviewed, 2019)
      Simultaneous input and state estimation algorithms are studied as particular limits of Kalman filtering problems. This admits interpretation of the algorithm properties and critical analysis of their claims to being partly ...

    • Dynamic State Estimation for Electrical Power Grids 

      Abooshahab, Mohammad Ali (Doctoral theses at NTNU;2021:273, Doctoral thesis, 2021)
      Increased electrification of society, as well as increased incidence of distributed power generation, causes more dynamic operation of modern electrical power grids. Methods for monitoring of power grids have traditionally ...

    • Simultaneous input & state estimation, singular filtering and stability 

      Abooshahab, Mohammad Ali; Alyaseen, Mohammed M.J.; Bitmead, Robert R.; Hovd, Morten (Peer reviewed; Journal article, 2021)
      Input estimation is a signal processing technique associated with deconvolution of measured signals after filtering through a known dynamic system. Kitanidis and others extended this to the simultaneous estimation of the ...

    • Unscented Kalman Filter Based State and Parameter Estimation in Percussive Drilling Systems 

      Song, Xianfeng; Kane, Pascal-Alexandre; Abooshahab, Mohammad Ali (Chapter, 2020)
      Down-The-Hole (DTH) percussion tool is recognized for its high average rate of penetration (ROP), when drilling medium hard to very hard rock formations. This ROP which depends on the bit-rock contact conditions at the ...