scholarly journals NONLINEAR PARAMETER IDENTIFICATION OF RISK TECHNICAL SYSTEMS

2014 ◽  
pp. 37-41
Author(s):  
Nikolay Petrov

This paper deals with an optimal method concerning nonlinear parameter identification of risk technical systems (automobile and railway transport, aircrafts, marine and river transport, chemical installations, munitions, information society suffering by terrorism). Unknown states of the model are built by sliding observers which converge in a finite time. Due to this property, it is possible to derive equations of the model in order to obtain an estimation law which converges to the nominal values of the parameters also in the finite time.

2014 ◽  
pp. 83-86
Author(s):  
Nikolay Petrov

We propose estimators of a round off error contained in an approximation for Richardson’s extrapolation scheme under finite digit arithmetic. We also propose a stopping criterion, based on consideration of the round off error, for Richardson’s extrapolation scheme with respect to risk technical systems (automobile and railway transport, aircrafts, marine and river transport, chemical installations, munitions, information society suffering by terrorism). Usually the error of an approximation is evaluated by a truncation error. However, we can accurately estimate the behavior of this error utilizing both truncation and round off errors under finite digit arithmetic.


Mechatronics ◽  
2019 ◽  
Vol 61 ◽  
pp. 83-95 ◽  
Author(s):  
Clemens C. Maier ◽  
Simon Schröders ◽  
Wolfgang Ebner ◽  
Marius Köster ◽  
Alexander Fidlin ◽  
...  

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