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Showing 2 results for J. Poshtan

J. Poshtan, H. Mojallali,
Volume 1, Issue 1 (January 2005)
Abstract

We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basis of linear subspace identification are summarized. Different algorithms one finds in literature (Such as N4SID, MOESP, CVA) are discussed and put into a unifying framework. Further, a comparison between subspace identification and prediction error methods is made on the basis of computational complexity and precision of methods by applying them to a glass tube manufacturing process.
A. Moharampour, J. Poshtan, A. Khaki-Sedigh,
Volume 4, Issue 3 (July 2008)
Abstract

In this paper, after defining pure proportional navigation guidance in the 3-

dimensional state from a new point of view, range estimation for passive homing missiles is

explained. Modeling has been performed by using line of sight coordinates with a particular

definition. To obtain convergent estimates of those state variables involved particularly in

range channel and unavailable from IR trackers, nonlinear filters such as sequential U-D

extended Kalman filter and Unscented Kalman filter in modified spherical coordinate

combined with a modified proportional navigation guidance law are proposed. Simulation

results indicate that the proposed tracking filters in conjunction with the dual guidance law

are able to provide the convergence of the range estimate for both maneuvering and nonmaneuvering

targets.



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