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N4SID and moesp subspace identification methods

Jamaludin, I. W. and Wahab, N. A. and Khalid, N. S. and Sahlan, S. and Ibrahim, Z. and Rahmat, M. F. (2013) N4SID and moesp subspace identification methods. In: Proceedings - 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013.

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Official URL: http://dx.doi.org/10.1109/CSPA.2013.6530030

Abstract

Multivariable Output Error State Space (MOESP) and Numerical algorithms for Subspace State Space System Identification (N4SID) algorithms are two well known subspace identification techniques discussed in this paper. Due to the use of robust numerical tools such as QR decomposition and singular value decomposition (SVD), these identification techniques are often implemented for multivariable systems. Subspace identification algorithms are attractive since the state space form is highly suitable to estimate, predict, filters as well as for control design. In literature, there are several simulation studies for MOESP and N4SID algorithms performed in offline and online mode. In this paper, order selection, validity and the stability for both algorithms for model identification of a glass tube manufacturing process system is considered. The weighting factor α, used in online identification is obtained from trial and error and particle swarm optimization (PSO). Utilizing PSO, the value of α is determined in the online identification and a more accurate result with lower computation time is obtained.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:51190
Deposited By: Haliza Zainal
Deposited On:27 Jan 2016 01:53
Last Modified:17 Sep 2017 08:35

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