Subspace Identification: Theory, Implementation, Application

TL;DR: In this article, the authors used the Numerical algorithm for Subspace State Space System IDentification (N4SID) to extract dynamic parameters from phasor measurements collected on the western North American Power Grid.

TL;DR: In this article, the performance properties of three mode-estimation block-processing algorithms from the perspective of near real-time automated stability assessment are demonstrated and examined, and issues addressed include: stability assessment requirements, automated subset selecting identified modes; using algorithms in an automated format; data assumptions and quality; and expected algorithm estimation performance.

TL;DR: The MOESP class of identification algorithms are made recursive on the basis of various updating schemes for subspace tracking.

TL;DR: The present paper stresses how the basic idea is to focus on the estimation of the state-variable candidates — the k-step ahead output predictors — by recomputing these from a ‘non-parametric’ (or, rather, high order ARX) one- step ahead predictor model, closed loop data can be handled.