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

Thomas Steinberger, Lucas Zinner

Publikation: Working/Discussion PaperWU Working Paper

Abstract

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)
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberSFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
PublikationsstatusVeröffentlicht - 1999

Publikationsreihe

NameWorking Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Nr.56

WU Working Paper Reihe

  • Working Papers SFB \Adaptive Information Systems and Modelling in Economics and Management Science\

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