NDLI: N4SID and MOESP subspace identification methods

Content Provider	IEEE Xplore Digital Library
Author	Jamaludin, I.W. Wahab, N.A. Khalid, N.S. Sahlan, S. Ibrahim, Z. Rahmat, M.F.
Copyright Year	2013
Description	Author affiliation: Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia (Ibrahim, Z.) \|\| Dept. of Control & Mechatron. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Wahab, N.A.; Khalid, N.S.; Sahlan, S.; Rahmat, M.F.) \|\| Mechatron. Dept., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia (Jamaludin, I.W.)
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.
Sponsorship	IEEE Malaysia Sect. CS Chapter
Starting Page	140
Ending Page	145
File Size	413601
Page Count	6
File Format	PDF
ISBN	9781467356084
e-ISBN	9781467356091
DOI	10.1109/CSPA.2013.6530030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis MOESP Computational modeling QR decomposition subspace identification Hankel matrices Matrix decomposition N4SID Signal processing algorithms Signal processing Observability singular value decomposition Singular value decomposition
Content Type	Text
Resource Type	Article

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