Blar i Institutt for teknisk kybernetikk på forfatter "Abdollahpouri, Mohammad"

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    • A homotopy-based moving horizon estimation 

      Abdollahpouri, Mohammad; Quirynen, Rien; Haring, Mark; Johansen, Tor Arne; Takacs, Gergely; Diehl, Moritz; Rohal-Ilkiv, Boris (Journal article; Peer reviewed, 2019)
      Moving horizon estimation (MHE) solves a constrained dynamic optimisation problem. Including nonlinear dynamics into an optimal estimation problem generally comes at the cost of tackling a non-convex optimisation problem. ...

    • A homotopy-based moving horizon estimation 

      Abdollahpouri, Mohammad; Quirynen, Rien; Haring, Mark; Johansen, Tor Arne; Takács, Gergely; Diehl, Moritz; Rohal'-Ilkiv, Boris (Journal article; Peer reviewed, 2017)
      Moving horizon estimation (MHE) solves a constrained dynamic optimisation problem. Including nonlinear dynamics into an optimal estimation problem generally comes at the cost of tackling a non-convex optimisation problem. ...

    • Adaptive vibration attenuation with globally convergent parameter estimation 

      Abdollahpouri, Mohammad; Batista, Gabriel; takacs, gergely; Johansen, Tor Arne; Rohal-Ilkiv, Boris (Journal article; Peer reviewed, 2019)
      Parameter estimation problems can be nonlinear, even if the dynamics are expressed by a linear model. The extended Kalman filter (EKF), even though it is one of the most popular nonlinear estimation techniques, may not ...

    • Double Moving Horizon Estimation: Linearization by a Nonlinear Transformation 

      Abdollahpouri, Mohammad; Haring, Mark; Johansen, Tor Arne; Takács, Gergely; Rohal'-Ilkiv, Boris (Chapter, 2018)
      Moving horizon estimation (MHE) is a con- strained non-convex optimization problem in principle, which needs to be solved online. One approach to avoid dealing with several local minima is to linearize the nonlinear dynamics. ...

    • Nonlinear State and Parameter Estimation using Discrete-Time Double Kalman Filter 

      Abdollahpouri, Mohammad; Haring, Mark; Johansen, Tor Arne; takacs, gergely; Rohal-Ilkiv, B (Journal article; Peer reviewed, 2017)
      Dealing with nonlinear dynamics in conventional estimation methods like the extended Kalman filter (EKF) is challenging, since they are not guaranteed to have global convergence, and their instability can arise by selecting ...