Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Chenguang Xi"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
Abstract In this paper, we discuss distributed optimization over directed graphs, where doubly stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue by applying push-sum consensus, which utilizes column-stochas
Externí odkaz:
https://doaj.org/article/967166c53c6f410bbe25f1501052ba87
Autor:
Chenguang Xi, Dengfeng Cao
Publikováno v:
iLABMED.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract We propose a novel miniaturized optical attenuator based on the evanescent-field coupling between two nanofibers. Benefiting from a wavelength-dependent waveguiding property of the coupled structure, a tunable attenuation with maximum extinc
Externí odkaz:
https://doaj.org/article/1ba263d8c1fd4cfab2b74a8d6e979cb3
Publikováno v:
Photonics, Vol 11, Iss 11, p 1068 (2024)
Tunable color emissions, emerging from a single CdTe nanowire, are demonstrated experimentally based on optical transverse nonlinear effects. The pumping light at different wavelengths (e.g., 1064 nm and 980 nm) is coupled to a nanowire at both ends
Externí odkaz:
https://doaj.org/article/5b9e69119fa84e4787d351a9fc7be3ba
Publikováno v:
IEEE Transactions on Automatic Control. 63:3558-3565
This paper considers a distributed optimization problem over a multi-agent network, in which the objective function is a sum of individual cost functions at the agents. We focus on the case when communication between the agents is described by a \emp
Publikováno v:
Results in Physics, Vol 59, Iss , Pp 107587- (2024)
Recently, quasi two-dimensional (quasi-2D) perovskite solar cells (PSCs) have been paid more attentions due to their good stability. While the efficiency of 2D PSCs is lower than that of 3D ones due to their poor charge transport property. Here we in
Externí odkaz:
https://doaj.org/article/64dca02c07be454295216e3b7a4581f8
Publikováno v:
Neurocomputing. 267:508-515
In this paper, we propose a distributed algorithm, called Directed-Distributed Subgradient Descent (D-DSD), to solve multi-agent optimization problems over directed graphs. Existing algorithms mostly deal with similar problems under the assumption of
Autor:
Usman A. Khan, Chenguang Xi
Publikováno v:
IEEE Transactions on Automatic Control. 62:4980-4993
This paper develops a fast distributed algorithm, termed DEXTRA , to solve the optimization problem when $n$ agents reach agreement and collaboratively minimize the sum of their local objective functions over the network, where the communication betw
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
In this paper, we discuss distributed optimization over directed graphs, where doubly-stochastic weights cannot be constructed. Most of the existing algorithms overcome this issue by applying push-sum consensus, which utilizes column-stochastic weigh
Publikováno v:
Micromachines, Vol 15, Iss 8, p 1011 (2024)
High-precision displacement sensing has been widely used across both scientific research and industrial applications. The recent interests in developing micro-opto-electro-mechanical systems (MOEMS) have given rise to an excellent platform for miniat
Externí odkaz:
https://doaj.org/article/a0c9466563d1459c9b77aa33cd3d0c5e