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Minimal continuous model identification via Markov parameter estimation
, Article 2001 European Control Conference, ECC 2001, 4 September 2001 through 7 September 2001 ; Sept , 2001 , Pages 1858-1863 ; 9783952417362 (ISBN) ; Sadati, N ; Directorate General XII of the European Commission; Faculdade de Engenharia da Universidade do Porto ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2001
Abstract
In this paper, an attractive and novel algorithm for improving irreducible model identification of continuous time(CT) MIMO systems has been presented. The algorithm is based on least - squares (LS) estimates of Markov parameters (MP) using input output data and residual whitening. By choosing a linear-in-parameters model structure, the estimation becomes linear and asymptotically robust to zero-mean additive disturbances. CT Markov parameters may result in diverging approximations even for stable systems. To remove the existing limitations in the case of systems with low or zero damping, Markov Poisson parameters have been used to lend much flexibility to the estimation model. The MIMO...
Set membership identification and control of an iterative process
, Article 18th European Control Conference, ECC 2019, 25 June 2019 through 28 June 2019 ; 2019 , Pages 36-41 ; 9783907144008 (ISBN) ; European Control Assoication (EUCA) ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
For processes that repeat the same task an iterative control method can be applied that learns from the previous runs and corrects the tracking error for the next run. Meanwhile, a set membership identification technique is be combined with the regulation part to identify the plant response using the informative input-output data of previous observations. This combination method has been experimentally tested on a radio frequency machine and the results are presented in the paper. © 2019 EUCA