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- Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
- 2008 11th International Conference on Informationâ€¦
- 2008

The paper presents two methods of updating the weights of a Gaussian mixture to account for the density propagation within a data assimilation setting. The evolution of the first two moments of theâ€¦ (More)

- Gabriel Terejanu, Tarunraj Singh, Peter D. Scott
- 2007 10th International Conference on Informationâ€¦
- 2007

Fixed interval smoothing for systems with nonlinear process and measurement models is studied and applied to the assimilation of sensor data in a Chemical, Biological, Radiological or Nuclear (CBRN)â€¦ (More)

- Gabriel Terejanu
- 2009

In the following we assume that the random vector wk captures uncertainties in the model and vk denotes the measurement noise. Both are temporally uncorrelated (white noise), zero-mean randomâ€¦ (More)

- Gabriel Terejanu, Pankush Singla, Tatyana Singh, Peter D. Scott
- Proceedings of the 2010 American Controlâ€¦
- 2010

The paper builds upon a recent approach to find the approximate bounds of a real function using Polynomial Chaos expansions. Given a function of random variables with compact support probabilityâ€¦ (More)

A Gaussian-mixture-model approach is proposed for accurate uncertainty propagation through a general nonlinear system. The transition probability density function is approximated by a finite sum ofâ€¦ (More)

- Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
- IEEE Transactions on Automatic Control
- 2011

A nonlinear filter is developed by representing the state probability density function by a finite sum of Gaussian density kernels whose mean and covariance are propagated from one time-step to theâ€¦ (More)

- Gabriel Terejanu, Rochan R. Upadhyay, Kenji Miki
- ArXiv
- 2011

The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and realâ€¦ (More)

- Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott
- 2009 12th International Conference on Informationâ€¦
- 2009

Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and the dataâ€¦ (More)

- Gabriel Terejanu
- 2011

A novel adaptive scheme is presented in order to refine and to coarse the number of Gaussian components in a Gaussian mixture and it is integrated with a previous adaptive Gaussian sum forâ€¦ (More)

- Gabriel Terejanu
- 2009

be the set of k observations. Finding xak, the estimate or analysis of the state space xk, given Zk and the initial conditions is called the filtering problem. When the dynamic model for the process,â€¦ (More)