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

<table class="table-group" id="tab7"><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">0.0225</td><td align="center">0.0229</td><td align="center">0.0234</td><td align="center">0.0274</td></tr><tr><td align="left">UKFSE</td><td align="center">0.0228</td><td align="center">0.0232</td><td align="center">0.0234</td><td align="center">0.1150</td></tr><tr><td align="left">ANNSE</td><td align="center">0.0249</td><td align="center">0.0252</td><td align="center">0.0042</td><td align="center">0.0891</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 different input sequence.

Mathematical Problems in Engineering

tab7

Table 7

Table 7: ANN Approach for State Estimation of Hybrid Systems and Its Experimental Validation 