Temat: fuzzy interference system - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Distillation Column Control in Labview Using Fuzzy Interference System
Autorzy:: James, S. Aaron
Judice, A. Antony
Kumaravel, G.
Powiązania:: https://bibliotekanauki.pl/articles/1177884.pdf
Data publikacji:: 2018
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Distillation column
Fuzzy interference System
LABVIEW
Opis:: The growing importance of batch processes has recently targeted attention on the problem of rising the performance of batch operations. However, there's a low degree of automation of batch units in the present scenario. Fuzzy logic could be a fantastic human idea, doubtless applicable to a good vary of processes and tasks that need human intuition and knowledge. Fuzzy logic are often applied by means of software, dedicated controllers, or fuzzy microprocessors. Under conventional control, the average reflux rate enforced on a batch process was over the average reflux rate enforced with fuzzy algorithms, that is our planned methodology.
Źródło:: World Scientific News; 2018, 98; 214-220
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A new mechanism for data visualization with TSK-type preprocessed collaborative fuzzy rule based system
Autorzy:: Prasad, M.
Liu, Y.-T.
Li, D.-L.
Lin, C. -T.
Shah, R. R.
Kaiwartya, O. P.
Powiązania:: https://bibliotekanauki.pl/articles/91743.pdf
Data publikacji:: 2017
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: fuzzy interference system
collaborative clustering
fuzzy logic
big data
data visualization
Opis:: A novel data knowledge representation with the combination of structure learning ability of preprocessed collaborative fuzzy clustering and fuzzy expert knowledge of TakagiSugeno-Kang type model is presented in this paper. The proposed method divides a huge dataset into two or more subsets of dataset. The subsets of dataset interact with each other through a collaborative mechanism in order to find some similar properties within eachother. The proposed method is useful in dealing with big data issues since it divides a huge dataset into subsets of dataset and finds common features among the subsets. The salient feature of the proposed method is that it uses a small subset of dataset and some common features instead of using the entire dataset and all the features. Before interactions among subsets of the dataset, the proposed method applies a mapping technique for granules of data and centroid of clusters. The proposed method uses information of only half or less/more than the half of the data patterns for the training process, and it provides an accurate and robust model, whereas the other existing methods use the entire information of the data patterns. Simulation results show the proposed method performs better than existing methods on some benchmark problems.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 33-46
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Control of a drone: study and analysis of the robustness
Autorzy:: Zemalache, K. M.
Beji, L.
Maaref, H.
Powiązania:: https://bibliotekanauki.pl/articles/384519.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: self-tunable fuzzy interference system
static feedback linearization controller
tracking control
dynamic systems
drone
Opis:: The work describes an automatically on-line Self-Tunnable Fuzzy Interference Systems (STFIS) of a new configuration of mini-flying called XSF (X4 Stationary Flyer) drone. A Fuzzy controller based on-line optimization of a zero order Takagi-Sugeno fuzzy interference system (FIS) by a back propagation like algorithm is successfully applied. It is used to minimize a cost function that is made up of a quadratic error term and a weight decay term that prevents an excessive growth of parameters. Thus, we carried out control for helical trajectories by using the STFIS technique. This permits to prove the effectiveness of the proposed control law. Simulation results and a comparison with a Static Feedback Linearization controller (SFL) are presented and discussed. We studied the robustness of the two used controllers in the presence of disturbances. We presented the case of an engine breakdown as well as a gust of wind and taking into account white noise disturbances.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 1; 33-42
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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