Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

<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 align="left">Identification way in hair dryer</td><td align="center">The method with the data inspection strategy</td><td align="center">The method without the data inspection strategy</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Prediction error</td><td align="center">19.2230</td><td align="center">26.0138</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The prediction errors with and without the data inspection strategy in the hair dryer example.

Abstract and Applied Analysis

tab2

Table 2

Table 2: Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach 