Publications de Liang Xu | EPFL Graph Search

Rotating spokes, potential hump and modulated ionization in radio frequency magnetron discharges

In this work, the transition from the gradient drift instability (GDI) into an m = 1 rotating spoke in the radio frequency magnetron discharge was studied by means of the two-dimensional axial-azimuthal (z - y) particle-in-cell/Monte Carlo collision method ...

Iop Publishing Ltd2023

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

Giancarlo Ferrari Trecate, Clara Lucía Galimberti, Liang Xu, Luca Furieri

Deep Neural Networks (DNNs) training can be difficult due to vanishing and exploding gradients during weight optimization through backpropagation. To address this problem, we propose a general class of Hamiltonian DNNs (H-DNNs) that stem from the discretiz ...

2023

Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems

Baiwei Guo, Giancarlo Ferrari Trecate, Liang Xu

In the analysis and control of discrete-time linear time-invariant systems, the spectral radius of the system state matrix plays an essential role. Usually, it is assumed that system matrices are known, from which the spectral radius can be directly comput ...

IEEE2022

Neural Energy Casimir Control for Port-Hamiltonian Systems

Giancarlo Ferrari Trecate, Liang Xu, Muhammad Zakwan

The energy Casimir method is an effective controller design approach to stabilize port-Hamiltonian systems at a desired equilibrium. However, its application relies on the availability of suitable Casimir and Lyapunov functions, whose computation are gener ...

2022

Robust Classification Using Contractive Hamiltonian Neural ODEs

Giancarlo Ferrari Trecate, Liang Xu, Muhammad Zakwan

Deep neural networks can be fragile and sensitive to small input perturbations that might cause a significant change in the output. In this letter, we employ contraction theory to improve the robustness of neural ODEs (NODEs). A dynamical system is contrac ...

2022

A unified framework for Hamiltonian deep neural networks

Giancarlo Ferrari Trecate, Clara Lucía Galimberti, Liang Xu

Training deep neural networks (DNNs) can be difficult due to the occurrence of vanishing/explod- ing gradients during weight optimization. To avoid this problem, we propose a class of DNNs stemming from the time discretization of Hamiltonian systems. The t ...

2021

On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization

Giancarlo Ferrari Trecate, Mustafa Sahin Turan, Liang Xu

Consensusability of multi-agent systems (MASs) certifies the existence of a distributed controller capable of driving the states of each subsystem to a consensus value. We study the consensusability of linear interconnected MASs (LIMASs) where, as in sever ...

2021

Suboptimal Distributed LQR Design for Physically Coupled Systems

Baiwei Guo, Giancarlo Ferrari Trecate, Clara Lucía Galimberti, Liang Xu

In this paper, we propose a suboptimal distributed LQR control method, applicable to systems coupled through both physical interconnections and the quadratic cost to be minimized. Thanks to a novel suboptimal but distributed cost-to-go matrix update that e ...

ELSEVIER2020

Consensusability of linear interconnected multi-agent systems

Giancarlo Ferrari Trecate, Mustafa Sahin Turan, Liang Xu

Consensusability is an important property for many multi-agent systems (MASs) as it implies the existence of networked controllers driving the states of MAS subsystems to the same value. Consensusability is of interest even when the MAS subsystems are phys ...

ELSEVIER2020

Remote State Estimation With Stochastic Event-Triggered Sensor Schedule and Packet Drops

Liang Xu

This article studies the remote state estimation problem of linear time-invariant systems with stochastic event-triggered sensor schedules in the presence of packet drops between the sensor and the estimator. Due to the existence of packet drops, the Gauss ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Measurement of the branching fraction and CP asymmetry in B plus . J/.. plus decays

Christoph Frei, Peter Clarke, Jean Wicht, Aurelio Bay, Minh Tâm Tran, Marc-Olivier Bettler, Cédric Potterat, François Fleuret, Tatsuya Nakada, Guido Haefeli, Niko Neufeld, Olivier Schneider, Hans Dijkstra, Frédéric Teubert, Gerhard Raven, Mingkui Wang, Chitsanu Khurewathanakul, Frédéric Blanc, Matthew Needham, Axel Kuonen, Olivier Göran Girard, Liang Sun, Maxime Schubiger, Thibaud Humair, Hang Yin, Xiaoxue Han, Greig Alan Cowan, Paolo Durante, Jessica Prisciandaro, Guillaume Max Pietrzyk, Matthieu Philippe Luther Marinangeli, Vladislav Balagura, Zhirui Xu, Mark Tobin, Victor Coco, Violaine Bellée, Mirco Dorigo, Yu Zheng, Maurizio Martinelli, Tommaso Colombo, Guido Andreassi, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Nicolas Dupont, Françoise Gisou van der Goot Grunberg, Li Jin, Lionel Blanc, Andreas Kern, Andreas Mayer, Yin Chen, Darren Moore, Maurizio Molinari, Xu Liu, Jun Ren, Ziwei Qu, Li Yu, Xin Qi, Paolo Paganetti, Wei Chen, Peiwen Chen, Jian Zhang, Hong Jiang, Bo Wang, Yi Sun, Rakesh Kumar, Qi Chen, Si Chen, Ke Liu, Feng Xu, Qing Zhong, Hua Bai, Yang Sun, Sheng Li, Wei Liu, Peng Wang, Zhen Yan, Bo Liu, Fan Zhang, Jian Wu, Jian Wang, Li Zhang, Chih-Peng Chang, Giuseppe Russo, Sandra Moreno, Ying Jiang, Hong Zhang, Liang Xu, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,