Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model

<div><svg height="9.7005pt" id="M15" style="vertical-align:-0.3625793pt" version="1.1" viewbox="-0.0498162 -9.33792 17.4927 9.7005" width="17.4927pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M669 636L663 650H260C230 650 221 652 208 675H186C177 621 162 548 144 481L173 479C195 534 211 560 226 578C248 604 266 615 373 615H544C460 511 114 112 23 16L31 0H561C577 34 611 135 622 170L594 182C566 125 544 88 515 65C481 38 416 35 319 35C249 35 197 37 152 41C270 184 542 501 669 636Z" id="g113-91"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="692" vert-adv-y="692"></glyph.data></g><g transform="matrix(.0135,0,0,-0.0135,9.376,0)"><path d="M535 230V280H52V230H535Z" id="g117-33"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="587" vert-adv-y="587"></glyph.data></g></svg>axis vibratory MEMS gyroscope with nonlinear effective spring.</div>

Discrete Dynamics in Nature and Society

Adaptive Control of MEMS Gyroscope Based on T-S Fuzzy Model

Figure 1