no code implementations • 21 Feb 2023 • Wenqi Cao, Gianluigi Pillonetto
Many problems arising in control require the determination of a mathematical model of the application.
no code implementations • 25 Mar 2022 • Wenqi Cao, Gianluigi Pillonetto
We consider the identification of large-scale linear and stable dynamic systems whose outputs may be the result of many correlated inputs.
no code implementations • 21 Nov 2021 • Wenqi Cao, Giorgio Picci, Anders Lindquist
We study modeling and identification of stationary processes with a spectral density matrix of low rank.
no code implementations • 24 Sep 2021 • Wenqi Cao, Anders Lindquist, Giorgio Picci
In this paper we study hidden dynamical relations between the components of a discrete-time stochastic vector process and investigate their properties with respect to stability and causality.
no code implementations • 9 Dec 2020 • Giorgio Picci, Wenqi Cao, Anders Lindquist
We study modeling and identification of processes with a spectral density matrix of low rank.
1 code implementation • 29 Oct 2018 • Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
Big data powered Deep Learning (DL) and its applications have blossomed in recent years, fueled by three technological trends: a large amount of digitized data openly accessible, a growing number of DL software frameworks in open source and commercial markets, and a selection of affordable parallel computing hardware devices.