Sentence examples for system parameters estimation from inspiring English sources

In this work, an analytical formulation for high impedance fault location in power distribution systems is presented, based on system parameters estimation.

In this paper, it is proven that a state dependent switching law designed for integrator switched systems can be used to stabilize complex switched uncertain nonlinear systems as well as a class of impulsive systems, provided that the upper bound of the uncertainty terms satisfy a relationship with the nominal system parameters estimation of the nominal system parameters.

The adaptive Hammerstein nonlinear system parameter estimation algorithm proposed is accomplished without linearizing the systems nonlinearity.

The SSI method can be completed in three steps: orthogonal projection, singular value decomposition and system parameter estimation.

On-line system parameter estimation is combined with an appropriate parametric test decision for robust detection and confirmation of faults.

CS allows for accurate system parameter estimation with fewer pilots; thereby, addressing the pilot contamination problem and improving the bandwidth efficiency [8, 9].

It is shown that accuracy of system parameter estimation can be increased if the results obtained from GANF are further processed using a cascade of appropriately designed filters.

Ching et al. [29] and Nasrella and Manohar [30] applied a particle filter method for state as well as system parameter estimation of dynamic systems implementing finite-element model in forward scheme with deterministic excitation.

The problem of system parameter estimation is computationally expensive and can easily be trapped in local minima.

Based on the time-course microarray data, the system parameter estimation method and the model selection measurement Akaike Information Criterion (AIC) were then used to detect significant interactions [ 31, 32] (see Supplementary methods for details).

The method described here is an extension of our previous work in S-systems parameter estimation [ 14].