State Estimation for Sampled-Data Descriptor Nonlinear System: A Strong Tracking Unscented Kalman Filter Approach

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithms</td><td class="align_center">Simulation time (s)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">UKF</td><td class="align_center">0.03164</td></tr><tr><td class="align_left">STUKF</td><td class="align_center">0.05385</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computation times of the UKF and STUKF per run for the simulation cases.

Mathematical Problems in Engineering

tab1

Table 1

Table 1: State Estimation for Sampled-Data Descriptor Nonlinear System: A Strong Tracking Unscented Kalman Filter Approach 