Sentence examples for systems when only from inspiring English sources

It serves as an alternative approach for baseflow estimation in un-gauged systems when only groundwater table and soil information is available, and is thus complementary to other methods that require discharge measurements.

This phenomenon has been deployed to present a new way to control continuous time chaotic systems, when only one of the states of the system is measurable and the system model is not also available.

When evaluating binary decision problems it is very difficult to compare the performance of various systems when only a pair of values (sensitivity and specificity) is reported.

It is shown that an adaptive observer for concentration can be constructed for an arbitrary order reaction system when only temperature measurements are available.

This paper proposes a random decrement (RD) based method to identify the modal parameters of a linear dynamic system, when only forced acceleration responses are available for use.

This paper deals with the state estimation for a schistosomiasis infection dynamical model described by a continuous nonlinear system when only the infected human population is measured.

In a previous paper, we analyzed the maximal achievable performance of an open-channel system when only the regulated variable is measured and perturbations are assumed unmeasured.

In this paper, we investigate the problem of resource allocation in an MU-OFDM CR system when only partial CSI is available at the CR base station (CRBS).

This paper presents a method for combining previously published proper orthogonal decomposition-based identification techniques for strictly free or strictly forced systems to identify predictive models for a system when only mixed response data are available, i.e. response data resulting from initial conditions and loads that are applied together.

QML is a complementary approach to quantitative system identification [ 37] and it works well in reasoning dynamic behaviours of biochemical systems, especially when only noisy and sparse experimental data are available.

In real systems, the discrete time system often appears when it is the result of sampling the continuous-time system or when only discrete data are available for use.