D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="681259.fig.0010a" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.0010a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Curves of tower top temperature step input<b>  </b></td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="681259.fig.0010b" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.0010b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Curves of tower bottom temperature step input</td></tr></table></td></tr></table>

<table>Simulation results of step input without disturbance.</table>

Mathematical Problems in Engineering

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Figure 10

Figure 10: D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process 