Robust Adaptive Sliding Mode Control for Generalized Function Projective Synchronization of Different Chaotic Systems with Unknown Parameters

<table>Time evolution of the parameters <svg height="15.4125" id="M120" style="vertical-align:-3.27605pt" version="1.1" viewbox="0 0 18.7875 15.4125" width="18.7875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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q20 -24 30 -78l11 -60q16 -92 48.5 -128t97.5 -41v227q0 57 -13.5 73t-66.5 20v28h245v-28q-53 -4 -66.5 -20t-13.5 -73v-227q75 4 103.5 37.5t45.5 132.5l10 58q8 51 33 80q35 38 104 49z" id="x3A8"></path></g>
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q20 -24 30 -78l11 -60q16 -92 48.5 -128t97.5 -41v227q0 57 -13.5 73t-66.5 20v28h245v-28q-53 -4 -66.5 -20t-13.5 -73v-227q75 4 103.5 37.5t45.5 132.5l10 58q8 51 33 80q35 38 104 49z" id="x3A8"></path></g>
<g transform="matrix(.012,-0,0,-.012,12.387,15.35)"><path d="M412 140l28 -9q0 -2 -35 -131h-373v23q112 112 161 170q59 70 92 127t33 115q0 63 -31 98t-86 35q-75 0 -137 -93l-22 20l57 81q55 59 135 59q69 0 118.5 -46.5t49.5 -122.5q0 -62 -29.5 -114t-102.5 -130l-141 -149h186q42 0 58.5 10.5t38.5 56.5z" id="x32"></path></g>
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q20 -24 30 -78l11 -60q16 -92 48.5 -128t97.5 -41v227q0 57 -13.5 73t-66.5 20v28h245v-28q-53 -4 -66.5 -20t-13.5 -73v-227q75 4 103.5 37.5t45.5 132.5l10 58q8 51 33 80q35 38 104 49z" id="x3A8"></path></g>
<g transform="matrix(.012,-0,0,-.012,12.387,15.35)"><path d="M285 378v-2q65 -13 102 -54.5t37 -97.5q0 -57 -30.5 -104.5t-74 -75t-85.5 -42t-72 -14.5q-31 0 -59.5 11t-40.5 23q-19 18 -16 36q1 16 23 33q13 10 24 0q58 -51 124 -51q55 0 88 40t33 112q0 64 -39 96.5t-88 32.5q-29 0 -64 -11l-6 29q77 25 118 57.5t41 84.5
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</svg> of the error system.</table>

Mathematical Problems in Engineering

fig1

Figure 1

Figure 1: Robust Adaptive Sliding Mode Control for Generalized Function Projective Synchronization of Different Chaotic Systems with Unknown Parameters 

Figure 1 | Robust Adaptive Sliding Mode Control for Generalized Function Projective Synchronization of Different Chaotic Systems with Unknown Parameters 