Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Controller</td><td class="align_center">Number of hidden layers</td><td class="align_center">Optimization algorithm</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">ANNC</td><td class="align_center">1</td><td class="align_center">Adagrad</td></tr><tr><td class="align_left">IANNC</td><td class="align_center">1</td><td class="align_center">Improved Adagrad</td></tr><tr><td class="align_left">IADNNC</td><td class="align_center">More than 1</td><td class="align_center">Improved Adagrad</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Differences between three controllers.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control 

Table 2 | Position Control of Magnetic Levitation Ball Based on an Improved Adagrad Algorithm and Deep Neural Network Feedforward Compensation Control 