IDENTIFICATION OF ON-AND OFF-LINE LINEAR STATE SPACE MODELS USING SUBSPACE METHODS

Authors

  • Nurul Syahirah Khalid School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Norhaliza Abd. Wahab Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia
  • Muhammad Iqbal Zakaria Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v77.6782

Keywords:

Identification, Subspace, Singular Value Decomposition (SVD)

Abstract

In this paper, subspace identification methods are proposed to analyze the differences between On-And Off-Line Linear State Space Models Using Subspace Methods. There are several ways that can estimate the order of the system. For this paper, Singular Value Decomposition (SVD) is used to estimate the order of the system. Comparing with the others methods, this method only need a limited number of input and output data for the determination of the system matrices. Two methods of the subspace algorithm are used which is N4SID (Numerical algorithm for Subspace State Space System Identification) and MOESP (Multivariable Output-Error State-Space model identification).

References

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Published

2015-12-16

Issue

Section

Science and Engineering

How to Cite

IDENTIFICATION OF ON-AND OFF-LINE LINEAR STATE SPACE MODELS USING SUBSPACE METHODS. (2015). Jurnal Teknologi (Sciences & Engineering), 77(28). https://doi.org/10.11113/jt.v77.6782