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    Extended Kalman Filter Application For Launch Vehicle Trajectory

    Abstract: Real time applications have been implemented out of intuitive modeling but due to inefficient estimation techniques there were deviations in the results from expected processes. To avoid these deviations for better performance modeling, many mathematical state estimation methods are in use. This paper focuses on a state estimation method for monitoring and control of a real time system. The existing models for state estimation, as well as the challenges associated …

    Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 41–49 Read article

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