Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System

<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"> </td><td class="align_center">Sideslip angle</td><td class="align_center">Yaw rate</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Proposed</td><td class="align_center">2.885</td><td class="align_center">3.963</td></tr><tr><td class="align_left">Reference [<a href="/journals/cin/2022/4579263/#B28" target="_blank">28</a>]</td><td class="align_center">7.471</td><td class="align_center">15.23</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The RMS values for tracking errors (10–4).</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System 