Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Recursive extended least squares"'
Akademický článek
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Publikováno v:
International Journal of Control, Automation and Systems. 16:1070-1079
This paper studies the parameter identification problems of multivariate output-error moving average systems. An auxiliary model based extended stochastic gradient algorithm and based recursive extended least squares algorithm are proposed for estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d75b0c92ff60c84445fffc78aa0f3d1
https://doi.org/10.1007/s12555-017-0101-7
https://doi.org/10.1007/s12555-017-0101-7
Publikováno v:
CoDIT
To mitigate the influence of parameter variations on the maximum torque per ampere (MTPA) operation of interior permanent magnet synchronous machines (IPMSMs), a parameter-estimation-based adaptive MTPA control method is presented in this paper. A pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd94857463c8c6645deeb1546befe52
https://doi.org/10.1109/codit.2019.8820640
https://doi.org/10.1109/codit.2019.8820640
Publikováno v:
2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
In this document, we study the nonlinear stochastic system represented by Hammerstein- Wiener mathematical models. The Recursive Extended Least Squares (RELS) based on fuzzy technique is also used to estimate the parameters of the considered model. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e6c3dea36e6923dbfdb36d0216e0a5
https://doi.org/10.1109/sta.2019.8717256
https://doi.org/10.1109/sta.2019.8717256
Akademický článek
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Publikováno v:
2018 IEEE 19th Workshop on Control and Modeling for Power Electronics (COMPEL).
The dc distribution systems are widely considered in vehicles, ships, aircraft, etc., and may become a reality in future buildings instead of traditional ac systems. To guarantee the stability of source-load interface, the parameters of source impeda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ad96adf4f2e88f20ebcd03daa7bae58
https://doi.org/10.1109/compel.2018.8460160
https://doi.org/10.1109/compel.2018.8460160
Publikováno v:
Journal of the Franklin Institute. 352:5473-5485
This paper presents a model equivalence based recursive extended least squares algorithm for output-error autoregressive moving average (i.e., Box–Jenkins) systems. The key is to transform a Box–Jenkins system into a controlled autoregressive mov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d0a28970d4ef00c5af83f3a220bf07f
https://doi.org/10.1016/j.jfranklin.2015.08.018
https://doi.org/10.1016/j.jfranklin.2015.08.018
Publikováno v:
Advanced Materials Research. :2780-2783
This paper focused on predictive algorithm of network utilization for networked control system (NCS). Auto-Regressive and Moving Average (ARMA) model was presented for general network utilization, which with fixed constant and known white noise. ARMA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::931d7ae2a2e7d4446af82ed474351c77
https://doi.org/10.4028/www.scientific.net/amr.945-949.2780
https://doi.org/10.4028/www.scientific.net/amr.945-949.2780
Publikováno v:
Applied Mathematical Modelling. 37(6):4051-4058
The dual-rate sampled-data systems can offer better quality of control than the systems with single sampling rate in practice. However, the conventional identification methods run in the single-rate scheme. This paper focuses on the parameter estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f66568b12aa91fee2de28d07e0fdd097
Publikováno v:
2016 35th Chinese Control Conference (CCC).
For ARMAX models, a Latest-Estimation Based Hierarchical Recursive Extended Least Squares algorithm is presented in this paper. The basic idea is to make full use of the latest estimation, and combine this with the hierarchical idea. In the proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08e5f73d7d9cd70ef3571c2ab4938d1
https://doi.org/10.1109/chicc.2016.7553096
https://doi.org/10.1109/chicc.2016.7553096