| Authors | Hussein Eliasi |
| Journal | مهندسی برق دانشگاه تبریز |
| Page number | 673-686 |
| Serial number | 55 |
| Volume number | 4 |
| Paper Type | Full Paper |
| Published At | 2025 |
| Journal Grade | Scientific - research |
| Journal Type | Electronic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | isc |
| Keywords | Backstepping sliding mode control, Input saturation, Nussbaum function, Influenza epidemic |
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Abstract
This paper presents a robust sliding mode control approach based on integral backstepping for multi-input multi-output
(MIMO) nonlinear systems. The proposed control scheme addresses input saturation, modeling uncertainties, and timevarying external disturbances. A novel auxiliary design system and Nussbaum gain functions are incorporated into the
control scheme to tackle input saturation. The proposed control approach is applied to a nonlinear epidemic model. The
model of Flu epidemiology, which includes five non-negative state variables representing the susceptible, exposed,
infected, asymptomatic, and recovered individuals, along with three control inputs for vaccination, medical treatment,
and social distancing, is being studied. Simulation results demonstrate the effectiveness of the proposed control scheme
in handling input saturation and achieving accurate trajectory tracking, highlighting its potential for uncertain nonlinear
systems with input constraints.
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