Sentence examples for approaches for networked from inspiring English sources

In this section, we will first review some existing results on state estimation methods designed to address the network-induced phenomena mentioned above, and then proceed to investigate some distributed estimation approaches for networked systems.

In this article two modeling approaches for Networked Controlled Systems (NCS) with different types of uncertainly varying bounded transmission delays and static discrete– time control laws are presented.

For clarity, we first present a taxonomy of different particle filtering approaches for networked systems in Fig. 2. Open image in new window Fig. 2 Taxonomy of PF for networked systems.

This paper builds on previous work and considers implications and outcomes of different methodological approaches for network research.

In this paper, we propose MM approaches for network capacity maximization and HOF reduction, which also maintain user fairness across the network.

We have developed two worst-case-based robust distributed beamforming approaches for networks that consist of one source, one destination, and multiple relays.

This principle is the basis for many algorithmic approaches for network identification [6] [8].

After global prediction, integrative approaches for network inference can be used.

Bayesian networks [ 4- 6] are one of the most popular modeling approaches for network construction using gene expression data [ 7- 17].

The genealogical relationships among cytb haplotypes inferred by the two approaches for network construction (MJ and SP) are highly congruent.

Current computational approaches for network reconstruction include principal component regression (PCR) [ 6], partial least squares (PLS) regression [ 7], linear matrix inequalities (LMI) [ 8], and Bayesian Networks (BNs) [ 9].