A basis function approach to scheduled locally weighted regression for on-line modeling of nonlinear dynamical systems

2015 ◽  
Author(s):  
Kenji Sugimoto ◽  
Lorlynn Asuncion Mateo
Keyword(s):  
Dynamical Systems ◽  
Basis Function ◽  
Nonlinear Dynamical Systems ◽  
Function Approach ◽  
Weighted Regression ◽  
Locally Weighted Regression ◽  
Nonlinear Dynamical ◽  
On Line

Green’s function approach in approximate controllability for nonlinear physical processes

2017 ◽  
Vol 32 (21) ◽  
pp. 1730015 ◽  
Author(s):  
Ara S. Avetisyan ◽  
Asatur Zh. Khurshudyan
Keyword(s):  
Dynamical Systems ◽  
Green’S Function ◽  
Green's Function ◽  
Approximate Controllability ◽  
Nonlinear Dynamical Systems ◽  
Initial Boundary ◽  
Function Approach ◽  
Initial Boundary Value Problems ◽  
Nonlinear Dynamical ◽  
Initial Boundary Value

Recently, Green’s function approach is used to approximate (initial) boundary value problems for nonlinear dynamical systems. Here, we use this approach for derivation of a simple criterion for approximate controllability of nonlinear dynamical systems. Simple and easy-to-check criteria on system parameters are derived for process controllability. Examples from existing references are considered.

On-line learning and modulation of periodic movements with nonlinear dynamical systems

2009 ◽  
Vol 27 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Andrej Gams ◽  
Auke J. Ijspeert ◽  
Stefan Schaal ◽  
Jadran Lenarčič
Keyword(s):  
Dynamical Systems ◽  
Nonlinear Dynamical Systems ◽  
Nonlinear Dynamical ◽  
On Line ◽  
On Line Learning
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