Strong and weak nonlinear dynamics: Models, classification, examples

2013 ◽  
Vol 59 (6) ◽  
pp. 644-650 ◽  
Author(s):  
O. V. Rudenko ◽  
C. M. Hedberg
2013 ◽  
Vol 787 ◽  
pp. 765-770
Author(s):  
Li Juan Wu ◽  
Jin Yuan Tang ◽  
Si Yu Chen

Based on the Lagranges equations, a new nonlinear dynamic gear model is established by introducing two variables of relative rotation angleand mean rotation angle. The motion equations derived with Lagranges equation exhibit nonlinear terms which are absent in the equations derived on Newtons equations. Combining with the numerical simulation, the dynamic responses in time domain and frequency domain are deduced, and it can be concluded that the responses at low speed of three different models are different. However, they are similar at the designed speed without the consideration of dissipation energy. On the contrary, the dynamic responses are similar at low speed and the simplified Newtons equation differs at the designed speed including dissipation energy.


2007 ◽  
Vol 129 (6) ◽  
pp. 813-824 ◽  
Author(s):  
Kiriakos Kiriakidis

This paper proposes a finite series expansion to approximate general nonlinear dynamics models to arbitrary accuracy. The method produces an approximation of nonlinear dynamics in the form of an aggregate of linear models, weighted by unimodal basis functions, and results in a linear growth bound on the approximation error. Furthermore, this paper demonstrates that the proposed approximation satisfies the modeling assumptions for analysis based on linear matrix inequalities and hence widens the applicability of these techniques to the area of nonlinear control.


2017 ◽  
Vol 12 (4) ◽  
Author(s):  
Dumitru Baleanu ◽  
Tamás Kalmár-Nagy ◽  
Themistoklis P. Sapsis ◽  
Hiroshi Yabuno

Author(s):  
Dumitru Baleanu ◽  
Tamas Kalmar-Nagy ◽  
Themistoklis P. Sapsis ◽  
Hiroshi Yabuno

1995 ◽  
Vol 50 (2) ◽  
pp. 107-108 ◽  
Author(s):  
Michael F. Halasz

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