Sentence examples for input with small from inspiring English sources

Multi-period repetitive controller was proposed by Gotou et al., in order to improve the disturbance attenuation characteristic of modified repetitive control systems and that follows the periodic reference input with small steady state error.

Further, it is shown that the output of the action network approaches the optimal control input with small bounded error and the output of the disturbance network approaches the worst disturbance with small bounded error.

Based on the experiments in the laboratory, the effect of solute input methods with small pulse input and large pulse input, as well as four pore water velocities, on chloride transport in the undisturbed soil columns obtained from the Loess Plateau under controlled condition was studied.

By decreasing the uncertainty of the input variables with small total effect indices (close to zero), the failure probability will not be reduced significantly.

The objective of this paper is to design a composite nonlinear feedback control law based on the linear portion such that the output of the system tracks a step input rapidly with small overshoot and at the same time maintains the stability of the whole cascade system.

The objective of this paper is to improve the transient performance of the closed-loop system by designing a CNF control law such that the output of the system tracks a step input rapidly with small overshoot and at the same time maintains the stability of the whole cascade system.

Furthermore, the approximated tracking control policy converges to the ideal control input with a small bounded error.

The size of the jaws is a function of the numbers of input NCCs, with smaller jaws reflecting smaller numbers since dramatic reductions in NCCs in the facial primordia greatly reduce development of the midface, including the jaws (Etchevers et al. 1999; Creuzet et al. 2004).

On average, the FSI input resistance measured with small current steps in the presence of serotonin was 96±5%5% of that observed in control solution.

To filter the input data, genes with small variations can be removed by selecting an appropriate threshold as described by the following formula): y i σ = 1 / N ∑ j = 1 N (y i j - μ i ) 2, where y ij stands for the value of row i, column j in the gene expression dataset, μ i represents the mean value of row i, N is the number of columns, and y iσ is the standard deviation for data in row i.

Alternately, as in the architectures we propose, the slow eigenvectors could be exponentially smaller at certain nodes; these nodes will then show fast timescales for most inputs, with a small slow component.