Sentence examples for multivariate system from inspiring English sources

A basic class of multivariate system identification input design methods is proposed.

Such estimates are mostly useful for analyzing impacts in a multivariate system as clearly demonstrated by [19] and [20].

This signal design procedure is applied to a simple 2-by-2 multivariate system that exhibits challenging interaction and gain directionality issues.

In a first approximation, the longitudinal u′(t) and lateral velocity fluctuation ν′(t) of a single stream filament are thought to be the only decisive inputs to the multivariate system (linear unsteady strip theory).

While Shantz and Teske use the same multivariate system as FPPR method [7,20], in this work we re-write the system with both symmetric and non-symmetric variables.

This study examines the conditional volatility and correlation dependency and interdependency for the four major precious metals (i.e., gold, silver, platinum and palladium), while accounting for geopolitics within a multivariate system.

However, the power of the Johansen test in multivariate systems with small sample size can be severely distorted.

In this article, we propose an optimization based formulation for design of optimal inputs for multivariate systems.

The proposed predictive controller is demonstrated on multivariate systems using MATLAB simulations and an application on a pilot scale process.

Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate systems based on vector autoregressive modeling.

In multivariate systems, when it comes to identifying actual operating conditions ranges, or optimal settings, the use of constrained optimization is often required.