Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94010
Type: Artigo de evento
Title: Discrete-time Systems Neuro-riccati Equation Solution
Author: Tamariz A.D.R.
Bottura C.P.
Abstract: In this article proposal for solving the Discrete-Time Algebraic Riccati Equation (DARE) using a multilayer Recurrent Neural Network (RNN) approach is presented. Systems of coupled matricial nonlinear differential equations are derived describing the neural dynamics of the Neuro-Riccati equation. By solving these coupled matrix equations using recurrent neural networks a symmetric and positive definite solution is obtained. Several examples demonstrate the effectiveness of this proposal and respective implementation. © 2005 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/IJCNN.2005.1556253
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33750144038&partnerID=40&md5=98bb4353e0fd6923a57f82f12b46a58a
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

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