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In this way, the controller can be designed to provide the track of the reference signal with predefined dynamics and reduce the effects of the disturbances on the performance.
These data must be mapped to genomic locations prior to display and IGV provides several options for this step: (i) Automatically map data values associated with gene names, based on information in the gene track of the reference genome.
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This method led to satisfactory tracking of the reference input with zero steady-state error.
The interest here is to achieve a robust trajectory tracking of the reference commands in spite of large parameter uncertainties.
In the closed-loop system, asymptotic tracking of the reference depth and pitch angle trajectories is accomplished.
In nominal conditions, when saturation conditions do not occur, a feedback guarantees exponential tracking of the reference trajectories.
An inner control loop aimed at the finite time exact tracking of the reference movement is also designed.
Although Bai et al. (please see above reference) guaranteed the desired formation, it did not ensure tracking of the reference velocity with the exception of special cases.
The global asymptotical tracking of the reference signal is achieved and the bound of all signals of the resultant closed-loop system is also guaranteed.
Good tracking of the reference process variable (i.e., punch force), and significant part quality improvement in the presence of disturbances, is achieved.
In this paper we describe both dynamic and static control laws and prove that they provide the desired tracking of the reference signals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com