<p>This paper investigates the problem of almost disturbance decoupling via output feedback for a class of nonlinear systems with unknown sensor sensitivity. To address the complexity introduced by the large measurement uncertainty and external disturbance, a dual-domination approach is developed based on a generalized Lyapunov matrix inequality. For two types of nonlinear growth conditions, arbitrary accuracy in attenuating the effect of disturbance on the output has been achieved, while ensuring the internal stability of the closed-loop system. Particularly, the proposed control approach is a non-backstepping design with smaller computational burden. Finally, simulation results validate the effectiveness of our control approach.</p>

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Output feedback disturbance attenuation for nonlinear systems with unknown sensor sensitivity

  • Xin Yin,
  • Chengdi Xiang,
  • Xianglei Jia,
  • Weifeng Xia

摘要

This paper investigates the problem of almost disturbance decoupling via output feedback for a class of nonlinear systems with unknown sensor sensitivity. To address the complexity introduced by the large measurement uncertainty and external disturbance, a dual-domination approach is developed based on a generalized Lyapunov matrix inequality. For two types of nonlinear growth conditions, arbitrary accuracy in attenuating the effect of disturbance on the output has been achieved, while ensuring the internal stability of the closed-loop system. Particularly, the proposed control approach is a non-backstepping design with smaller computational burden. Finally, simulation results validate the effectiveness of our control approach.