Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">MSE<sub>Total</sub></td><td align="center">MSE<sub>100 to 200</sub></td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Adaptation of consequents</td><td align="center">0.67</td><td align="center">0.23</td></tr><tr><td align="left">Adaptation of consequents and antecedents</td><td align="center">0.53</td><td align="center">0.17</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparative performance indices before and after the adaptation of consequents.

Advances in Fuzzy Systems

tab4

Table 4

Table 4: Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller 