A two-layer transformation for zeros analysis of networked dynamical systems
Input–output properties are studied for a linear network model with homogeneous single-
input single-output subsystems. Specifically, the finite-and infinite-zero structure of a channel …
input single-output subsystems. Specifically, the finite-and infinite-zero structure of a channel …
Conditional embedding pre-training language model for image captioning
P Li, M Zhang, P Lin, J Wan, M Jiang - Neural Processing Letters, 2022 - Springer
The pre-trained language model can not only learn language representations with different
granularity from a large number of corpus, but also provide a good initialization for …
granularity from a large number of corpus, but also provide a good initialization for …
On the spatial pattern of input-output metrics for a network synchronization process
A graph-theoretic analysis is undertaken for a compendium of input-output (transfer) metrics
of a standard discrete-time linear synchronization model, including lp gains, frequency …
of a standard discrete-time linear synchronization model, including lp gains, frequency …
A two-layer transformation for zeros analysis of networked dynamical systems
J Abad Torres, S Roy - 2022 - dl.acm.org
Input–output properties are studied for a linear network model with homogeneous single-
input single-output subsystems. Specifically, the finite-and infinite-zero structure of a channel …
input single-output subsystems. Specifically, the finite-and infinite-zero structure of a channel …
Quantized control of complex networks composed of identical systems with delayed inputs-application of the descriptor approach
The quantized control of a complex network subject to delayed control signals is studied.
The design of the control is based on the linear matrix inequalities. Moreover, the descriptor …
The design of the control is based on the linear matrix inequalities. Moreover, the descriptor …
[图书][B] Disturbance Propagation in Dynamical Networks
S Sarker - 2022 - search.proquest.com
This dissertation focuses on the propagation of disturbances in dynamical networks.
Specifically, we use graph-theoretic analysis to characterize the disturbance responses in …
Specifically, we use graph-theoretic analysis to characterize the disturbance responses in …