Nonlinear Nonconvex Optimization by Evolutionary Algorithms Applied to Robust Control

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</svg> comparison. From left to right, in terms of <svg height="15.025" id="M483" style="vertical-align:-5.76988pt" version="1.1" viewbox="0 0 23.200001 15.025" width="23.200001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>, FCT, decoupled CRONE 3, <svg height="16.75" id="M484" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 42.400002 16.75" width="42.400002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<g transform="matrix(.017,-0,0,-.017,22.625,16.7)"><path d="M43 650h280q194 0 282 -85q85 -82 85 -215q0 -173 -123 -267q-107 -83 -297 -83h-236v27q65 5 79.5 19.5t14.5 77.5v402q0 45 -6 62.5t-21.5 24t-57.5 9.5v28zM213 547v-416q0 -55 24.5 -75t81.5 -20q133 0 203 86t70 214q0 80 -30 143t-88 97q-66 41 -170 41
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<g transform="matrix(.012,-0,0,-.012,35.113,8.538)"><path d="M538 96q-38 -45 -84 -76.5t-71 -31.5q-44 0 -15 117q12 49 18 89h-2q-99 -128 -163 -178q-36 -28 -70 -28q-26 0 -44 38h-2q-16 -69 -16 -129q0 -43 11 -75.5t24 -42.5l1 -6q-7 -12 -24.5 -23t-37.5 -11q-40 0 -40 76q0 52 35 202l94 407l78 24l5 -5q-32 -122 -72 -310
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</svg>, CRONE 3, CRONE 2, TID and PID.</table>

Mathematical Problems in Engineering

fig16

Figure 16

Figure 16: Nonlinear Nonconvex Optimization by Evolutionary Algorithms Applied to Robust Control 