Model predictive control tuning based on Extended Kalman Filter

Gonzales, Oscar; Cela, Andrés; Herrera, Marco

doi:10.1109/etcm.2017.8247480

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2021

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“…For example, in (Gonzales et al, 2017) the plant variables are temperature and molar concentration. These variables take a considerable time to reach operating points, it means in a period of minutes or hours the set-point is accomplished.…”

Section: Introduction 1mentioning

confidence: 99%

Parametric and Non-parametric Mathematical Modelling Techniques: A Practical Approach of an Electrical Machine Identification

Gonzales

2021

esj

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Mathematical modeling is an important feature concerning the analysis and control of dynamic systems. Also, system identification is an approach for building mathematical expressions from experimental data taken from processes performance. In this context, the contemporaneous state of the art describes several modelling and identification techniques which are excellent alternatives to determine systems behavior through time. This paper presents a comprehensive review of the main techniques for modeling and identification from a parametric and no parametric perspective. Experimental data are taken from an electrical machine that is a DC motor from a didactic platform. The paper concludes with the analysis of results taken from different identification procedures.

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Section: Introduction 1mentioning

confidence: 99%