Liang Xu

Orcid: 0000-0001-8171-0247

Affiliations:
  • École Polytechnique Fédérale de Lausanne, Switzerland
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (PhD 2018)


According to our database1, Liang Xu authored at least 27 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adaptive Output Formation Tracking for Nonlinear Multiagent Systems With Double Semi-Markovian Switching Topologies and Time-Varying Actuator Faults.
IEEE Trans. Cybern., October, 2024

Simplified ADP-Based Distributed Event-Triggered Fault-Tolerant Control of Heterogeneous Nonlinear Multiagent Systems With Full-State Constraints.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

Neural Exponential Stabilization of Control-affine Nonlinear Systems.
CoRR, 2024

2023
Linear quadratic optimal control for time-delay stochastic system with partial information.
Int. J. Syst. Sci., July, 2023

Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design.
IEEE Trans. Autom. Control., May, 2023

Robust Classification Using Contractive Hamiltonian Neural ODEs.
IEEE Control. Syst. Lett., 2023

2022
On Consensusability of Linear Interconnected Multiagent Systems and Simultaneous Stabilization.
IEEE Trans. Control. Netw. Syst., 2022

Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems.
Proceedings of the European Control Conference, 2022

Neural Energy Casimir Control for Port-Hamiltonian Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Neural Energy Casimir Control.
CoRR, 2021

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design.
CoRR, 2021

Finite Sample Analysis of Spectral Radius Estimation and Its Applications to Networked Control Systems.
CoRR, 2021

Non-conservative Design of Robust Tracking Controllers Based on Input-output Data.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

A unified framework for Hamiltonian deep neural networks.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
Remote State Estimation With Stochastic Event-Triggered Sensor Schedule and Packet Drops.
IEEE Trans. Autom. Control., 2020

Distributed Consensus Over Markovian Packet Loss Channels.
IEEE Trans. Autom. Control., 2020

On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization.
CoRR, 2020

Consensusability of linear interconnected multi-agent systems.
CoRR, 2020

2019
Consensusability of Discrete-Time Multiagent Systems With Communication Delay and Packet Dropouts.
IEEE Trans. Autom. Control., 2019

Decentralized control for linear systems with multiple input channels.
Sci. China Inf. Sci., 2019

Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops.
Proceedings of the 2019 American Control Conference, 2019

2018
Mean-Square Stabilization Over Gaussian Finite-State Markov Channels.
IEEE Trans. Control. Netw. Syst., 2018

Mean square consensus of multi-agent systems over fading networks with directed graphs.
Autom., 2018

2017
Mean Square Stabilization of Linear Discrete-Time Systems Over Power-Constrained Fading Channels.
IEEE Trans. Autom. Control., 2017

2016
Consensusability of discrete-time linear multi-agent systems over analog fading networks.
Autom., 2016

Mean square stabilization of vector LTI systems over power constrained lossy channels.
Proceedings of the 2016 American Control Conference, 2016

2015
Mean square capacity of power constrained fading channels with causal encoders and decoders.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015


  Loading...