Modeling the reachable sets for two-dimensional positive linear systems with the scalar control using perceptron type neural networks

• Autorzy: Swinarski R.W. , Rumchev V.R.

Warianty tytułu

PL

Modelowanie zbiorów osiągalnych 2-wymiarowych układów dodatnich przy użyciu sieci neuronowych

• Języki publikacji: EN

Abstrakty

EN

The paper presents a technique for modeling reachable states of positive linear discrete-time systems (PLOS) using static teed-forward neural networks. The proposed method is based on design of two layer perceptron type neural network.

PL

Praca przedstawia metodę modelowania zbiorów osiągalnych dyskretnych układów dodatnich opartą na sieciach neuronowych. Dwuwarstwowa sieć neuronowa zaproponowana jest do modelowania zbiorów osiągalnych reprezentowanych przez stożki wypukłe.

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2002
• Tom: R. 78, nr 10
• Strony: 229--234
• Opis fizyczny: Bibliogr. 17 poz., 3 rys., 2 tab.

Twórcy

autor

Swinarski R.W.

• San Diego State University

autor

Rumchev V.R.

Bibliografia

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