Low-Complexity Adaptive Saturated Control of a Class of Nonlinear Systems with Its Application

<p>Weights <svg height="11.927pt" id="M177" style="vertical-align:-3.291101pt" version="1.1" viewbox="-0.0498162 -8.6359 15.7813 11.927" width="15.7813pt" xmlns="http://www.w3.org/2000/svg"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M962 650H739L732 622L760 619C812 613 819 604 798 552C760 457 671 267 606 131H604L511 638H480L237 131H233L183 554C177 607 183 614 226 619L248 622L257 650H24L17 622C88 615 92 611 103 524L173 -11H203L450 491H453L543 -11H575L839 529C882 609 886 613 953 622L962 650Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,10.777,3.132)"><path d="M460 334C460 396 434 451 378 451C330 451 241 408 148 300H146L237 679C241 697 241 710 232 710C213 710 153 684 67 675L66 646H95C141 646 145 642 134 595L39 170C23 97 31 54 46 33C64 8 100 -12 137 -12C178 -12 234 3 298 43C391 101 460 222 460 334ZM371 320C371 204 316 89 248 51C230 41 208 37 192 37C143 37 102 72 119 166C124 194 129 215 135 235C202 323 298 392 335 392C353 392 371 372 371 320Z"></path></g></svg> of RBFNN under traditional backstepping control law.</p>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Low-Complexity Adaptive Saturated Control of a Class of Nonlinear Systems with Its Application 