Publication

My Google Scholar, ORCID Page.

Journal Publications

  • C. Galimberti, L. Furieri, L. Xu and G. Ferrari-Trecate, “Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design”, accepted by IEEE Transactions on Automatic Control, 2023. [arXiv] [IEEE Xplore]

  • M. Zakwan, L. Xu, G. Ferrari-Trecate, “Robust Classification using Contractive Hamiltonian Neural ODEs”, vol. 7, pp. 145-150, IEEE Control Systems Letters, 2023. [arXiv] [IEEE Xplore]

  • M. Turan, L. Xu, G. Ferrari-Trecate, “On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization”, vol. 9, no. 1, pp. 403-414, IEEE Transactions on Control of Network Systems, 2022. [arXiv] [IEEE Xplore]

  • L. Xu, Y. Mo and L. Xie,“Remote State Estimation with Stochastic Event-triggered Sensor Schedule and Packet Drops,” IEEE Transactions on Automatic Control, vol.65, no.11, pp. 4981-4988, 2020. [pdf] [IEEE Xplore]

  • L. Xu, Y. Mo and L. Xie,“Distributed Consensus over Markovian Packet Loss Channels,” IEEE Transactions on Automatic Control, vol. 65, no.1, pp. 279-286, 2020. [pdf]

  • J. Zheng, L. Xu, L. Xie, and K. You, “Consensusability of Discrete-Time Multi-Agent Systems with Communication Delay and Packet Dropouts,” IEEE Transactions on Automatic Control, vol. 64, no. 3, pp. 1185-1192, 2019. [link]

  • L. Xu, J. Zheng, N. Xiao, and L. Xie, “Mean Square Consensus of Multi-Agent Systems over Fading Networks with Directed Graphs,” Automatica, vol. 95, pp. 503–510, 2018. [pdf]

  • L. Xu, L. Xie, and N. Xiao, “Mean Square Stabilization over Gaussian Finite-State Markov Channels,” IEEE Transactions on Control of Network Systems, vol. 5, no. 4, pp. 1830-1840, 2017. [pdf]

  • L. Xu, Y. Mo, L. Xie, and N. Xiao, “ Mean Square Stabilization of Linear Discrete-Time Systems over Power Constrained Fading Channels,” IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 6505-6512, 2017. [pdf]

  • L. Xu, N. Xiao, and L. Xie, “Consensusability of Discrete-Time Linear Multi-Agent Systems over Analog Fading Networks,” Automatica, vol. 71, pp. 292-299, 2016. [pdf]

  • L. Xu, Q. Hu, and Y. Zhang, “L2 performance control of robot manipulators with kinematics, dynamics and actuator uncertainties,” International Journal of Robust and Nonlinear Control, vol. 27, pp. 875–893, 2017. [pdf]

  • L. Xu and Q. Hu, “Output-feedback stabilisation control for a class of under-actuated mechanical systems,” IET Control Theory & Applications, vol. 7, pp. 985-996, 2013. [pdf]

  • Q. Hu, L. Xu and A. Zhang. “Adaptive backstepping trajectory tracking control of robot manipulator,” Journal of the Franklin Institute, Vol. 349, pp. 1087-1105, 2012. [pdf]

Conference Publications

  • L. Xu, M. Zakwan, G. Ferrari-Trecate, “Neural Energy Casimir Control for Port-Hamiltonian Systems”, the IEEE Conference on Decision and Control, 2022. [arXiv] [IEEE Xplore]

  • L. Xu, B. Guo, G. Ferrari-Trecate, “Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems”, the European Control Conference, 2022. [arXiv] [IEEE Xplore]

  • L. Xu, M. Turan, B. Guo and G. Ferrari-Trecate, “Non-conservative Design of Robust Tracking Controllers Based on Input-output Data”, the 3rd Annual Learning for Dynamics & Control Conference, 2021 [link] [arXiv]

  • C. Galimberti, L. Xu and G. Ferrari-Trecate, “A Unified Framework for Hamiltonian Deep Neural Networks”, the 3rd Annual Learning for Dynamics & Control Conference, 2021 [link]

  • L. Xu, B. Guo, C. Galimberti, M. Farina, R. Carli, G. Ferrari-Trecate, “Suboptimal Distributed LQR Design for Physically Coupled Systems”, the IFAC World Congress, 2020. [pdf][link]

  • M. Turan, L. Xu, G. Ferrari-Trecate, “Consensusability of linear interconnected multi-agent systems”, the IFAC World Congress, 2020. [link]

  • L. Xu, Y. Mo and L. Xie, “Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops”, the 2019 American Control Conference, 2019. [arXiv]

  • L. Xu, X. Mo, and Y. Mo, “Secure State Estimation for Linear Time-varying Processes via Local Estimators,” the 2019 Chinese Control Conference, 2019. [pdf]

  • L. Xu, Y. Mo and L. Xie,“Distributed Consensus over Markovian Packet Loss Channels,” the 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Groningen, NL, August 27-28, 2018. [pdf][poster]

  • L. Xu, Y. Mo, and L. Xie, “Mean Square Stabilization of Vector LTI Systems over Power Constrained Lossy Channels,” the 2016 American Control Conference, Boston, MA, USA, July 6-8, 2016. [pdf]

  • L. Xu, L. Xie, and N. Xiao, “Mean Square Capacity of Power Constrained Fading Channels with Causal Encoders and Decoders,” the 54th IEEE Conference on Decision and Control, Osaka, Japan, December 15-18, 2015. [pdf]

  • L. Xu, N. Xiao, and L. Xie, “Consensusability of Linear Multi-Agent Systems over Analog Fading Networks via Dynamic Output Feedback,” the 33rd Chinese Control Conference, Nanjing, China, July 28-30, 2014. [pdf]

Ph.D Thesis

  • L. Xu, “Control over Networks with Fading Communication Channels”, Doctoral thesis, Nanyang Technological University, Singapore, 2018. [pdf][slides]