ANN Approach for State Estimation of Hybrid Systems and Its Experimental Validation

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left">Estimator</td><td align="center">ISE<sub>1</sub></td><td align="center">ISE<sub>2</sub></td><td align="center">ISE<sub>3</sub></td><td align="center">Est. Time</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">EKFSE</td><td align="center">0.9684</td><td align="center">0.9724</td><td align="center">0.9628</td><td align="center">0.0245</td></tr><tr><td align="left">UKFSE</td><td align="center">0.9684</td><td align="center">0.9718</td><td align="center">0.9615</td><td align="center">0.1006</td></tr><tr><td align="left">ANNSE</td><td align="center">1.0694</td><td align="center">1.0447</td><td align="center">0.2616</td><td align="center">0.0722</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Performance measure of the state estimators under higher degree of process noise.

Mathematical Problems in Engineering

tab5

Table 5

Table 5: ANN Approach for State Estimation of Hybrid Systems and Its Experimental Validation 