An experimental validation of time domain system identification methods with fusion of heterogeneous data

2014 ◽  
Vol 44 (4) ◽  
pp. 523-547 ◽  
Author(s):  
M.N. Chatzis ◽  
E.N. Chatzi ◽  
A.W. Smyth
Keyword(s):  
System Identification ◽  
Time Domain ◽  
Experimental Validation ◽  
Heterogeneous Data ◽  
Identification Methods

scholarly journals System Identification Using Fractional Models: State of the Art

2007 ◽  
Author(s):  
Rachid Malti ◽  
Ste´phane Victor ◽  
Olivier Nicolas ◽  
Alain Oustaloup
Keyword(s):  
System Identification ◽  
Time Domain ◽  
State Of The Art ◽  
Simultaneous Estimation ◽  
Time Domain Simulation ◽  
Identification Methods ◽  
Non Linear Programming ◽  
Equation Error ◽  
Fractional Models ◽  
General Aspects

This paper presents a state of the art of actual achievements in time-domain system identification using fractional models. It starts with some general aspects on time and frequency-domain representations, time-domain simulation, and stability of fractional models. Then, an overview on system identification methods using fractional models is presented. Both equation-error and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous estimation of model’s coefficients and differentiation orders, using non linear programming. A real thermal example is identified using a fractional model and compared to a rational one.

System Identification Methods for Improving Flutter Flight Test Techniques

2004 ◽  
Author(s):  
David Klyde ◽  
Chuck Harris ◽  
Peter M. Thompson ◽  
Edward N. Bachelder
Keyword(s):  
System Identification ◽  
Flight Test ◽  
Identification Methods

Experimental Validation of a Dynamic Simulation

1990 ◽  
Author(s):  
K. Harold Yae ◽  
Su-Tai Chern ◽  
Howyoung Hwang
Keyword(s):  
Dynamic Analysis ◽  
Dynamic Simulation ◽  
Time Domain ◽  
Experimental Validation ◽  
Initial Conditions ◽  
Hydraulic Cylinder ◽  
Force Output ◽  
Inverse Dynamic ◽  
Inverse Dynamic Analysis ◽  
The Time Domain

Abstract Using forward and inverse dynamic analysis, the dynamic simulation of a backhoe has been compared with experiments. In the experiment, recorded were the configuration and force histories; that is, velocity and position, and force output from the hydraulic cylinder-all were measured in the time domain. When the experimental force history is used as driving force in the simulation, forward dynamic analysis produces a corresponding motion history. And when the experimental motion history is used as if a prescribed trajectory, inverse dynamic analysis generates a corresponding force history. Therefore, these two sets of motion and force histories — one set from experiment, and the other from the simulation that is driven forward and backward with the experimental data — are compared in the time domain. The comparisons are discussed in regard to the effects of variations in initial conditions, friction, and viscous damping.

scholarly journals Direct Time-Domain TAN Model of 3D Multilayer Hybrid PCB: Experimental Validation

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 60645-60654 ◽  
Author(s):  
Z. Xu ◽  
Y. Liu ◽  
B. Ravelo ◽  
J. Gantet ◽  
N. Marier ◽  
...  
Keyword(s):  
Time Domain ◽  
Experimental Validation
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