Further results on controllability of re
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E.D. Sontag; Y. Qiao
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Article
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1999
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Elsevier Science
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English
⚖ 134 KB
This paper studies controllability properties of recurrent neural networks. The new contributions are: (1) an extension of a previous result to a slightly di erent model, (2) a formulation and proof of a necessary and su cient condition, and (3) an analysis of a low-dimensional case for which the hy