Extremum-seeking control for unknown static maps with mixed actuator nonlinearity

This study proposes an extremum-seeking controller design for unknown static maps subject to a combination of saturated and discrete actuators with unknown characteristics but with measurable final control elements. The proposed design techniques incorporate a filter for each uncertain actuator that enables the design of a constrained extremum-seeking control that operates at a slow time-scale. The stability analysis demonstrates that the closed-loop system has a practically asymptotically stable equilibrium at the unknown constrained optimum of the optimization problem. A simulation is presented that demonstrates the effectiveness of the proposed technique.

Automated summary

This study proposes an extremum-seeking controller design for unknown static maps with a combination of saturated and discrete actuators, while incorporating a filter for each uncertain actuator. The stability analysis shows that the closed-loop system has a practically asymptotically stable equilibrium at the unknown constrained optimum.