Browsing by Author "Pasha Syed"

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Browsing by Author "Pasha Syed"

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  • Closed Form PHD Filtering For Linear Jump Markov Models 
    Pasha Syed; Vo Ba-Ngu; Hoang Tuan; Ma Wing-Kin (IEEE, 2006)
    In recent years there has been much interest in the probability hypothesis density (PHD) filtering approach, an attractive alternative to tracking unknown numbers of targets and their states in the presence of data association ...
  • A Gaussian Mixture PHD Filter for Jump Markov System Models 
    Pasha Syed; Vo Ba-Ngu; Hoang Tuan; Ma Wing-Kin (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. ...
  • Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model 
    Pasha Syed; Hoang Tuan; Vo Ba-Ngu (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    For nonlinear state space model involving random variables with arbitrary probability distributions, the state estimation given a sequence of observations is based on an appropriate criterion such as the minimum mean square ...
  • Nonlinear Filtering For Continuous-Time Systems Using The Linear Fractional Transformation Model 
    Pasha Syed; Hoang Tuan (IEEE, 2009)
    In this paper, we propose Bayesian filtering technique for continuous-time dynamical models with sampled-data measurements using the linear fractional transformation (LFT) model which transforms the nonlinear state space ...
  • Nonlinear Filtering For The Linear Fractional Transformation Model 
    Pasha Syed; Hoang Tuan (IEEE, 2008)
    In gain-scheduling control the linear fractional transformation (LIFT) model is applied extensively to describe nonlinear plants. The equivalent representation of the nonlinear state space model by a linear model and a ...