Softsensor Design through Two-stage Subspace Identification Method

Subspace system identification

We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basis of linear subspace identification are summarized. Different algorithms one finds in literature (Such as N4SID, MOESP, CVA) are discussed and put into a unifyin...

Efficient implementation of Subspace method identification Algorithms

A New Two-Stage Method for Damage Identification in Linear-Shaped Structures Via Grey System Theory and Optimization Algorithm

The main objective of this paper is concentrated on presenting a new two-stage method for damage localization and quantification in the linear-shaped structures. A linear-shaped structure is defined as a structure in which all elements are arranged only on a straight line. At the first stage, by employing Grey System Theory (GST) and diagonal members of the Generalized Flexibility Matrix (GFM),...

Speech Enhancement Through an Optimized Subspace Division Technique

The speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. This paper discusses a novel technique for speech enhancement which is based on Singular Value Decomposition. This implementation utilizes a Genetic Algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

A Heuristic Method on Extended Two-Stage Network Structures

Data Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al.  (2012) for measuring the performance of Decision Making Units (DMUs). In addition, this paper expands the work of Li et al. (2012) an...