Cooperative Recurrent Neural Networks for the Constrained L1 Estimator

Compared with existing continuous-time neural networks for the constrained L1 estimator, the proposed continuous-time CRNN has a lower model complexity and the finite-time convergence to the exact optimal solution without any additional condition.

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 55; no. 7; p. 3192
Main Authors Youshen Xia, Youshen Xia, Kamel, M.S
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.07.2007
Subjects
Algorithms
Neural networks
Studies
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Summary:Compared with existing continuous-time neural networks for the constrained L1 estimator, the proposed continuous-time CRNN has a lower model complexity and the finite-time convergence to the exact optimal solution without any additional condition.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2007.894379