Frequency Domain Total Least Squares Identification of Linear, Periodically Time-Varying Systems from noisy input-output data

2011 ◽  
Vol 44 (1) ◽  
pp. 13115-13120 ◽  
Author(s):  
E. Louarroudi ◽  
J. Lataire ◽  
R. Pintelon
Keyword(s):  
Least Squares ◽  
Frequency Domain ◽  
Total Least Squares ◽  
Time Varying ◽  
Input Output ◽  
Output Data ◽  
Noisy Input ◽  
Time Varying Systems

scholarly journals Identification and Predictive Control by p-norm Minimization

10.14311/802 ◽  
2006 ◽  
Vol 46 (1) ◽  
Author(s):  
J. Pekař ◽  
J. Štecha
Keyword(s):  
Least Squares ◽  
Predictive Control ◽  
System Parameter ◽  
Total Least Squares ◽  
Input Output ◽  
Time System ◽  
Output Data ◽  
Real Time System ◽  
Norm Minimization ◽  
System Equations

Real time system parameter estimation from the set of input-output data is usually solved by minimization of quadratic norm errors of system equations – known in the literature as least squares (LS) or its modification as total least squares (TLS) or mixed LS and TLS. It is known that the utilization of the p-norm (1?p

Application of CRONE Control to a Sampled Time Varying System With Periodic Coefficients

2008 ◽  
Vol 130 (6) ◽  
Author(s):  
Jocelyn Sabatier ◽  
Aitor Garcia Iturricha ◽  
Mathieu Moze ◽  
Alain Oustaloup
Keyword(s):  
Robust Control ◽  
Frequency Domain ◽  
Discrete Time ◽  
Time Varying ◽  
Periodic Coefficients ◽  
Crone Control ◽  
Time Varying Systems

An application of CRONE robust control extended to discrete-time-varying systems with periodic coefficients is presented. The application is carried out in the frequency domain through the representation of considered systems using time varying z-transforms and time varying pseudofrequency responses.

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