Peak-to-peak exponential direct learning of continuous-time recurrent neural network models: a matrix inequality approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis
Link
http://link.springer.com/content/pdf/10.1186/1029-242X-2013-68.pdf
Reference31 articles.
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4. Liang XB, Wu LD: A simple proof of a necessary and sufficient condition for absolute stability of symmetric neural networks. IEEE Trans. Circuits Syst. I 1998, 45: 1010–1011. 10.1109/81.721271
5. Sanchez EN, Perez JP: Input-to-state stability (ISS) analysis for dynamic neural networks. IEEE Trans. Circuits Syst. I 1999, 46: 1395–1398. 10.1109/81.802844
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