Two-Phase Iteration for Value Function Approximation and Hyperparameter Optimization in Gaussian-Kernel-Based Adaptive Critic Design

<div class="floats-full-page floats-full-page-figure"><h2>Figure 6</h2><div class="floats-full-page-caption"><div>The outputs of the actor networks resulting from GK-ADP and KHDP.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-01.hindawi.com/articles/mpe/volume-2015/760459/figures/760459.fig.006a.svgz" name="760459.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The resulted control performance using GK-ADP</td></tr><tr class="fig-image" id="b"><td><object data="https://static-01.hindawi.com/articles/mpe/volume-2015/760459/figures/760459.fig.006b.svgz" name="760459.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The resulted control performance using KHDP</td></tr></table></div></div>

Figure 6 | Two-Phase Iteration for Value Function Approximation and Hyperparameter Optimization in Gaussian-Kernel-Based Adaptive Critic Design

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Figure 6: Two-Phase Iteration for Value Function Approximation and Hyperparameter Optimization in Gaussian-Kernel-Based Adaptive Critic Design

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Figure 6

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<p><em>Mathematical Problems in Engineering</em> is a broad-based journal publishing&nbsp;results of rigorous engineering research across all disciplines, carried out using mathematical tools.</p>


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<p>Chief Editor, Professor Guangming Xie, is currently a full professor of dynamics and control with the College of Engineering, Peking University. His research interests include complex system dynamics and control and intelligent and biomimetic robots.</p>


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