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Controllability of discrete-time two dimensional single input recurrent neural networks

This paper presents a complete characterization of controllability and reachability for the class of discrete-time recurrent neural networks with state space dimension 2 and single input. (author's abstract) / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Identiferoai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:epub-wu-01_1bc
Date January 1999
CreatorsSteinberger, Thomas, Zinner, Lucas
PublisherSFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
Source SetsWirtschaftsuniversität Wien
LanguageEnglish
Detected LanguageEnglish
TypePaper, NonPeerReviewed
Formatapplication/pdf
Relationhttp://epub.wu.ac.at/276/

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