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In this paper, deterministic and stochastic nonlinear prognosis methods that take uncertainty propagation into account are evaluated. More specifically, a deterministic method using interval techniques and two stochastic methods based on Bayesian filtering, namely extended Kalman filter and particle filter, are considered. The three algorithms are compared with reference to a classical benchmark which...
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