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"
Thomas Steinberger, Lucas Zinner
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