Local Gaussian modelling of stochastic dynamical systems in the analysis of non-linear random vibrations

1986 ◽  
Vol 23 (A) ◽  
pp. 241-255 ◽  
Author(s):  
Tohru Ozaki

Stochastic dynamical system models for non-linear random vibrations are considered and their discrete-time version, non-linear time series models are introduced using the local Gaussian modelling method. Some computational problems and implications of the present method in non-linear time series analysis are discussed.

1986 ◽  
Vol 23 (A) ◽  
pp. 241-255 ◽  
Author(s):  
Tohru Ozaki

Stochastic dynamical system models for non-linear random vibrations are considered and their discrete-time version, non-linear time series models are introduced using the local Gaussian modelling method. Some computational problems and implications of the present method in non-linear time series analysis are discussed.


1980 ◽  
Vol 17 (1) ◽  
pp. 84-93 ◽  
Author(s):  
T. Ozaki

Non-linear time series models for non-linear vibrations are presented. Some typical behaviour of non-linear vibrations generated from Duffing's equation or van der Pol's equation are explained through the models.


1980 ◽  
Vol 17 (01) ◽  
pp. 84-93 ◽  
Author(s):  
T. Ozaki

Non-linear time series models for non-linear vibrations are presented. Some typical behaviour of non-linear vibrations generated from Duffing's equation or van der Pol's equation are explained through the models.


2008 ◽  
Vol 203 (1) ◽  
pp. 224-232 ◽  
Author(s):  
Paresh Date ◽  
Luka Jalen ◽  
Rogemar Mamon

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