Temat: Petri layer - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Reproduction of the control plane as a method of selection of settings for an adaptive fuzzy controller with Petri layer
Autorzy:: Derugo, Piotr
Żychlewicz, Mateusz
Powiązania:: https://bibliotekanauki.pl/articles/140496.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: control plane reproduction
DC drive
fuzzy controller tuning
Petri layer
Opis:: The purpose of this paper is to show possibility and advantages of initial control plane reproduction for an adaptive fuzzy controller. Usually the fuzzy control is used when the object is not very well known. Yet the truth is, however, that some, at least general information about the object, is available. Usually, in such a case, optimization algorithms are used to tune the control structure. The purpose of this article is to show how to find a starting point that is closer to optimum than a statistically random point, and this way to obtain better results in a shorter time.
Źródło:: Archives of Electrical Engineering; 2020, 69, 3; 609-624
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of competitive and transition petri layers in adaptive neuro-fuzzy controller
Autorzy:: Derugo, P.
Powiązania:: https://bibliotekanauki.pl/articles/1193155.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: Petri layer
neuro-fuzzy
MRAS
competitive layer
transition layer
Opis:: The article is a summary of previous work on the possibility of using Petri layers in adaptive neuro-fuzzy controllers. In the first part of the paper the controller and two types of Petri layer have been presented, competitive layer which resets certain signals and transition layer which causes omission of signals. Layer properties were described and comparison has been made. In the second part of the paper, the results of a simulation showing the advantages and disadvantages of proposed solutions have been presented. Both quality of reference signal tracking and energetic cost of control process have been calculated. In the last part, analysis and comments on the results were made. Main conclusions are that transition Petri layer can significantly reduce growth of numerical cost of the algorithm despite the increase of fuzzy rules count. Also both competitive Petri layer and transition Petri layer by changing some inner signals can affect output value of the fuzzy system and thus the control quality indicators change. Most positive solutions have been pointed out
Źródło:: Power Electronics and Drives; 2016, 1, 36/1; 103-115
2451-0262
2543-4292
Pojawia się w:: Power Electronics and Drives
Dostawca treści:: Biblioteka Nauki

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