Subspace model identification Part 1. The output-error state-space model identification class of algorithms

1992 ◽  
Vol 56 (5) ◽  
pp. 1187-1210 ◽  
Author(s):  
MICHEL VERHAEGEN ◽  
PATRICK DEWILDE
Keyword(s):  
State Space ◽  
State Space Model ◽  
Model Identification ◽  
Space Model ◽  
Output Error ◽  
Error State

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

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
Nurul Syahirah Khalid ◽  
Norhaliza Abd. Wahab ◽  
Muhammad Iqbal Zakaria
Keyword(s):  
State Space ◽  
State Space Model ◽  
Model Identification ◽  
State Space Models ◽  
Subspace Methods ◽  
State Space System ◽  
Linear State ◽  
Value Decomposition ◽  
Error State

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).

R-MAX Helicopter State-Space Model Identification for Hover and Forward-Flight

2006 ◽  
Vol 51 (2) ◽  
pp. 202-210 ◽  
Author(s):  
Rendy P. Cheng ◽  
Mark B. Tischler ◽  
Greg J. Schulein
Keyword(s):  
State Space ◽  
State Space Model ◽  
Model Identification ◽  
Forward Flight ◽  
Space Model
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