Skip to main navigation Skip to search Skip to main content

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

  • Thomas Steinberger
  • , Lucas Zinner

Publication: Working/Discussion Paper › WU Working Paper and Case

54 Downloads (Pure)

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)

Publication series

SeriesWorking Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Number56

WU Working Papes and Cases

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

Cite this