scholarly journals A Hierarchical Attack Identification Method for Nonlinear Systems

2020 ◽  
Author(s):  
Sarah Braun ◽  
Sebastian Albrecht ◽  
Sergio Lucia
Keyword(s):  
Nonlinear Systems ◽  
Identification Method

Non-Parametric Identification Method of Volterra Kernels for Nonlinear Systems Excited by Multitone Signal

2013 ◽  
Vol 16 (2) ◽  
pp. 519-529 ◽  
Author(s):  
H. T. Han ◽  
H. G. Ma ◽  
L. N. Tan ◽  
J. F. Cao ◽  
J. L. Zhang
Keyword(s):  
Nonlinear Systems ◽  
Parametric Identification ◽  
Volterra Kernels ◽  
Identification Method ◽  
Non Parametric

A Quick Identification Method of Continuous-Time Nonlinear Systems and Its Application to Power Plant Control

1994 ◽  
Vol 27 (8) ◽  
pp. 283-288
Author(s):  
K. Inoue ◽  
K. Kumamaru ◽  
Y. Nakahashi ◽  
H. Nakamura ◽  
M. Uchida
Keyword(s):  
Power Plant ◽  
Nonlinear Systems ◽  
Continuous Time ◽  
Identification Method ◽  
Power Plant Control ◽  
Plant Control

Identification of Nonlinear Systems Structured by Wiener-Hammerstein Model

2016 ◽  
Vol 6 (1) ◽  
pp. 167 ◽  
Author(s):  
A Brouri ◽  
S Slassi
Keyword(s):  
Nonlinear Systems ◽  
Identification Problem ◽  
Hammerstein Model ◽  
Asymptotically Stable ◽  
Two Stage ◽  
Series Connection ◽  
Static Nonlinearity ◽  
Identification Method ◽  
Frequency Identification ◽  
Nonlinear Static

Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandwiched with two linear subsystems. The problem of identifying Wiener-Hammerstein models is addressed in the presence of hard nonlinearity and two linear subsystems of structure entirely unknown (asymptotically stable). Furthermore, the static nonlinearity is not required to be invertible. Given the system nonparametric nature, the identification problem is presently dealt with by developing a two-stage frequency identification method, involving simple inputs.

Sign in / Sign up

Export Citation Format

Share Document