Recurrent Neural Networks in Linear Systems Controlling | Zendy

Paul Ciprian Patic | Zendy; Ryad Zemouri | Zendy; Luminița Duță | Zendy

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Recurrent Neural Networks in Linear Systems Controlling

Author(s) -

Paul Ciprian Patic,

Ryad Zemouri,

Luminița Duță

Publication year - 2010

Publication title -

studies in informatics and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.321

H-Index - 22

eISSN - 1841-429X

pISSN - 1220-1766

DOI - 10.24846/v19i2y201005

Subject(s) - computer science , artificial neural network , controller (irrigation) , matlab , control theory (sociology) , radial basis function , control (management) , artificial intelligence , agronomy , biology , operating system

This paper presents an application of an ANN (Artificial Neural Network) of a RNRF type (Recurrent Network with Radial basis Function) in controlling a linear system. The performance of ANN-based control solution is compared with a classic controller and the results show that ANN behaves better than the classic controller. MATLAB simulation performed show that the coupling between the ANN and a proportional controller gives the best performance.

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