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The estimated value is fed back to finite control set optimal controller for implementing disturbance compensation.
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Moreover, the mechanistic exploration of the postural function often requires implementing disturbing postural conditions by using motor disturbance (mechanical disturbance), sensory stimulation (sensory manipulation), and/or cognitive disturbance (cognitive task associated with maintaining postural balance) protocols.
In order to implement the disturbance forces cancellation, the unknown disturbance forces must be observed.
The main idea of the proposed scheme stems from the fact that the actuator Lock-in-Place fault is unknown (when and where the actuator gets locked are unknown), and multiple models are used to describe different fault scenarios, then a bank of unknown input observers are designed to implement the disturbance de-coupling.
In this paper, the crossover operator adopts double-cut-point crossover and the mutation operator is implemented through power disturbance.
The tracking differentiator is designed to generate smooth transient profiles for the references, and the extended state observer/predictor is implemented for lumped disturbance estimation and state estimation considering the input delays.
The vegetation change tracker (VCT) is an automated algorithm that implements a disturbance index (DI, [46]) to reconstruct the history of the landscape disturbance on an annual or bi-annual basis (depending on data quality and availability) using Landsat 30 m time-series analysis [47].
The proportional-integral feedback control algorithm was implemented to suppress disturbances and model uncertainties while the anticipatory controller followed the computed singular arc trajectories.
Therefore, an accurate estimation of forest biomass and C cycling in context of disturbances is required for implementing REDD (Reducing Emissions from Deforestation and Forest Degradation) policy.
We design the robust controller in two parts: one is a delayed optimal trajectory tracking controller used for implementing the control task, and the other is a disturbance observer used for compensating the external disturbance.
It is noticed that all disturbances are taken into account when implementing FL rather than just omitting that in previous research, which greatly enhances controllers' robustness against external disturbances.
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