System identification of two-dimensional continuous-time systems using wavelets as modulating functions

Author:

Sadabadi Mahdiye Sadat,Shafiee Masoud,Karrari Mehdi

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference15 articles.

1. Identification of continuous-time AR processes from unevenly sampled data;Larsson;Automatica,2002

2. Larsson EK. Identification of stochastic continuous-time systems. Ph.D. dissertation. Sweden: Department of Information Technology, Uppsala University; 2004

3. An overview of important practical aspects of continuous-time ARMA system identification;Larsson;Circuits Systems Signal Processing,2006

4. Garnier H, Young P. Time-domain approaches to continuous-time model identification of dynamical systems from sampled data. Technical reports from the System Identification Group in Nancy. 2004, no. 04-CA-086, is available at http://www.iris.cran.uhp-nancy.fr/francais/idsys/Publications.html

5. Unbenhauen H, Rao GP. Continuous-time approaches to system identification. In: Selected papers from 8th IFAC/IFORS symposium. Identification & system parameter estimation. 1988

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