Wszystkie pola: radial basis function (RBF) - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties
Autorzy:: Peng, Cheng
Zhang, Anguo
Li, Junyu
Powiązania:: https://bibliotekanauki.pl/articles/2055174.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: multiagent system
radial basis function
RBF neural network
sliding mode control
cooperative control
system wieloagentowy
radialna funkcja bazowa
sieć neuronowa RBF
sterowanie ślizgowe
Opis:: The consensus problem for a class of high-order nonlinear multi-agent systems (MASs) with external disturbance and system uncertainty is studied. We design an online-update radial basis function (RBF) neural network based distributed adaptive control protocol, where the sliding model control method is also applied to eliminate the influence of the external disturbance and system uncertainty. System consensus is verified by using the Lyapunov stability theorem, and sufficient conditions for cooperative uniform ultimately boundedness (CUUB) are also derived. Two simulation examples demonstrate the effectiveness of the proposed method for both homogeneous and heterogeneous MASs.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 635--645
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Comparison of MLP and RBF Neural Networks in the Task of Classifying the Diameters of Water Pipes
Autorzy:: Gvishiani, Zurab
Dawidowicz, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/2174907.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: water distribution system
hydraulic calculation
selection of diameter
water pipe
artificial neural network
radial basis function
multilayer perceptron
Opis:: Hydraulic calculations of water distribution systems are currently performed using computer programs. In addition to the basic calculation procedure, modules responsible for evaluating the obtained calculation results are introduced more and more often into the programs. This article presents the results of research on artificial neural networks with a radial base function (RBF) and a multilayer perceptron (MLP), aimed at determining whether they can be used to model the relationship between the variables describing the computational section of the water distribution system and the diameter of the water pipe. The classification capabilities of the RBF and MLP networks were analyzed according to the number of neurons in the hidden layer of the network. A comparative analysis of RBF networks with multilayer perceptron (MLP) networks was performed. The results showed that the MLP networks have much better classification properties and are better suited for the task of assessing the selected diameters of the water pipes.
Źródło:: Rocznik Ochrona Środowiska; 2022, 24; 505--519
1506-218X
Pojawia się w:: Rocznik Ochrona Środowiska
Dostawca treści:: Biblioteka Nauki

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