Sami M. Fadali

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In this paper, we investigate a novel online estimation algorithm for dynamic Bayesian network (DBN) parameters, given as conditional probabilities. We sequentially update the parameter adjustment rule based on observation data. We apply our algorithm to two well known representations of DBNs: to a first-order Markov chain (MC) model and to a hidden Markov(More)
—The use of the web for a variety of educational needs has exploded recently. It provides one approach in the increasing use of electronic media. HTML—the " Lin-gua Franca " of the internet—provides great platform independence. However, for mathematically intensive applications as seen in Engineering, HTTP and HTML are not able to compete with non-web(More)
This paper describes a Direct Torque Controlled (DTC) Induction Machine (IM) drive that employs feedback linearization and sliding-mode control. A feedback linearization approach is investigated, which yields a decoupled linear IM model with two state variables: torque and stator flux magnitude. This intuitive linear model is used to implement a DTC type(More)
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