An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems: NARMAX Model and OKID-Based State-Space Self-Tuning Control

<table>Nonideal placement of <svg height="13.725" id="M642" style="vertical-align:-5.38599pt" version="1.1" viewbox="0 0 19.15 13.725" width="19.15" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,13.725)">
<g transform="translate(72,-61.02)">
<text transform="matrix(1,0,0,-1,-71.95,66.44)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑢</tspan>
</text>
<text transform="matrix(1,0,0,-1,-66.02,63.31)">
<tspan style="font-size: 8.75px; " x="0" y="0">𝑓</tspan>
</text>
<text transform="matrix(1,0,0,-1,-61.17,61.12)">
<tspan style="font-size: 6.25px; " x="0" y="0">𝑥</tspan>
</text>
</g>
</g>
</svg> thruster nozzle.</table>

Journal of Control Science and Engineering

fig12

Figure 12

Figure 12: An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems: NARMAX Model and OKID-Based State-Space Self-Tuning Control 

Figure 12 | An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems: NARMAX Model and OKID-Based State-Space Self-Tuning Control 