Complete controllability of discrete-time recurrent neural networks

Steinberger, Thomas and Zinner, Lucas (1999) Complete controllability of discrete-time recurrent neural networks. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 41. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

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Abstract

This paper presents a characterization of complete controllability for the class of discrete-time recurrent neural networks. We prove that complete controllability holds if and only if the rank of the control matrix equals the state space dimension. (author's abstract)

Item Type: Paper
Keywords: neuronales Netz / Kontrollsystem
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 08 Mar 2002 10:06
Last Modified: 22 Oct 2019 00:41
URI: https://epub.wu.ac.at/id/eprint/440

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