Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/1610898/figures/1610898.fig.003a.svgz" name="1610898.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Data produced</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/1610898/figures/1610898.fig.003b.svgz" name="1610898.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Training</td></tr></table>

<div>Plant identification using the grid nominal model.</div>

Complexity

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Figure 3

Figure 3: Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems 