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|Type:||Artigo de evento|
|Title:||Discrete-time Systems Neuro-riccati Equation Solution|
|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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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