Multi-model system parameter estimation

2003 ◽  
Author(s):  
I. Markovsky ◽  
S. Van Huffel ◽  
B. De Moor
Keyword(s):  
Parameter Estimation ◽  
System Parameter ◽  
Model System

Transient Stability Ranking Technique based on System Parameter Estimation and Extended Equal-Area Criterion

2008 ◽  
Vol 128 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Akira Takeuchi ◽  
Takashi Sato ◽  
Kouya Takafuji ◽  
Hideaki Nishiiri ◽  
Kotaro Takasaki ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
System Parameter ◽  
Transient Stability ◽  
Equal Area ◽  
Stability Ranking ◽  
Ranking Technique

Islanded microgrid energy system parameter estimation using stochastic methods

Solar Energy ◽  
2017 ◽  
Vol 147 ◽  
pp. 300-313 ◽  
Author(s):  
Mitchell Lennard ◽  
Abhijit Date ◽  
Xinghou Yu
Keyword(s):  
Parameter Estimation ◽  
System Parameter ◽  
Energy System ◽  
Stochastic Methods ◽  
Islanded Microgrid

Application of a Hilbert Transform-Based Algorithm for Parameter Estimation of a Nonlinear Ocean System Roll Model

1997 ◽  
Vol 119 (4) ◽  
pp. 239-243 ◽  
Author(s):  
O. Gottlieb ◽  
M. Feldman
Keyword(s):  
Parameter Estimation ◽  
Nonlinear Model ◽  
Hilbert Transform ◽  
Random Noise ◽  
Nonlinear Damping ◽  
Model System ◽  
Field Calibration ◽  
Calibration Test ◽  
Fishing Boat ◽  
Backbone Curves

We combine an averaging procedure with a Hilbert transform-based algorithm for parameter estimation of a nonlinear ocean system roll model. System backbone curves obtained from data are compared to those obtained analytically and are found to be accurate. Sensitivity of the results is tested by introducing random noise to a nonlinear model describing roll response of a small fishing boat. An example field calibration test of a small semisubmersible exhibiting nonlinear damping is also considered.

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