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Unlike the conventional disturbance observers, the proposed disturbance observer is modelled by a switched impulsive system, which makes use of the intermittent state data to estimate the disturbances.
A comparison between the EID-based control, the conventional disturbance observer, the disturbance-observer-based-control, and the sliding mode control methods demonstrates the validity and superiority of the EID-based control method.
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The proposed approach uses the tube MPC concept for robustness to handle the disturbances induced by mutual interactions between subsystems; however, the main novelty here is to replace the conventional linear disturbance rejection controller with a second MPC controller, as is done in tube-based nonlinear MPC.
Strip-tillage research in developing countries usually relies on commonly used rotary blades designed for conventional full disturbance soil tillage.
Compared to the conventional first-order disturbance observer, the higher order EDO offers improvement in estimate accuracy, if the absolute values of poles for EDO transfer function are chosen larger than the frequency content of the disturbance.
In contrast to conventional models, the disturbance vector u t does not follow a normal distribution.
When operating close to the distillation boundary for nonreactive, conventional, distillation, small disturbances in feed compositions can lead to completely different product compositions.
In the case of disturbances, conventional synchronous generators (SGs) are able to utilize the kinetic energy preserved in their rotational inertia to balance the potential energy variation of the power grid.
The results show that the proposed controller guarantees the performance of the conventional SOSMC under external disturbance and parametric uncertainty with less chattering.
Computer simulation shows that the dynamic performance of the proposed controller is robust than the conventional PI controller during disturbances.
Since Small Unmanned Helicopter flight attitude control process has strong time- varying characteristics, and there are random disturbances, the conventional control methods with unchanged parameters are often unworkable.
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