Multi-agent Networks Laboratory
Distributed coordination (Control, optimization, game theory and learning)
Multi-robot systems
Cyber-physical security and privacy
Adaptive cyber defense
News
February 2023: Our paper "Efficient gradient approximation method for constrained bilevel optimization" appears at AAAI 2023.
January 2023: Our papers "Federated reinforcement learning for generalizable motion planning" and "Multi-robot-assisted human crowd control for emergency evacuation: A stabilization approach" will appear at ACC 2023.
December 2022: Our papers “Distributed inverse constrained reinforcement learning for multi-agent systems” and “Byzantine-tolerant federated Gaussian process regression for streaming data” appear at NuerIPS 2022.
October 2022: Two new journal papers: "A multivariate adaptive gradient algorithm with reduced tuning efforts" appears in Neural Networks and "An adaptive Heavy-Ball method" appears in Machine Learning.
August 2022: Former Ph.D. student Hunmin Kim joins Department of Electrical and Computer Engineering at Mercer University as an Assistant Professor.
July 2022: Our paper "Meta value learning for fast policy-centric optimal motion planning" appears at RSS 2022.
June 2022: Our paper “Scalable distributed algorithms for multi-robot near-optimal motion planning” appears in Automatica.
March 2022: Our paper "Distributed economic control of dynamically coupled networks" appears in IEEE Transactions on Cybernetics.
November 2021: Yang Lu joins the School of Computing and Communications at Lancaster University, U.K., as a Lecturer (Assistant Professor).
October 2021: Our paper "A co-design adaptive defense scheme with bounded security damages against Heartbleed-like attacks" appears in IEEE TIFS.
September 2021: Our paper "Pareto optimal multi-robot motion planning" appears in IEEE TAC.
April 2021: Zhenyuan Yuan receives the Penn State Alumni Association Scholarship for Penn State Alumni in the Graduate School.
November 2020: Our paper “Distributed robust adaptive frequency control of power systems with dynamic loads” appears in IEEE TAC.
July 2020: Our paper “Communication-aware distributed Gaussian process regression algorithms for real-time machine learning” appears at ACC 2020.
May 2020: Our paper "On privacy preserving data release of linear dynamic networks" appears in Automatica.
January 2020: Our paper "Simultaneous input and state estimation for stochastic nonlinear systems with additive unknown inputs" appears in Automatica.
September 2019: Three book chapters on adaptive cyber defense appear.
August 2019: Zhisheng Hu successfully defends his Ph.D. dissertation, and will be a senior security scientist of Baidu Security at Silicon Valley.
July 2019: Our review paper "A control-theoretic perspective on cyber-physical privacy: Where data privacy meets dynamic systems" appears in Annual Reviews in Control.
June 2019: Our paper "On convergence rates of game theoretic reinforcement learning algorithms" appears in Automatica.
April 2019: Yang Lu receives the Dr. Nirmal K. Bose Dissertation Excellence Award.
October 2018: Our paper "Privacy preserving distributed optimization using homomorphic encryption" appears in Automatica.
August 2018: Hunmin Kim successfully defends his Ph.D. dissertation, and will be a postdoc associate at UIUC.
July 2018: Our paper "RoboADS: Anomaly detection against sensor and actuator misbehaviors in mobile robots" appears at DSN 2018.
June 2018: Our paper "Switching and data injection attacks on stochastic cyber-physical systems: Modeling, resilient estimation and attack mitigation" appears in ACM TCPS.
October 2017: Our paper "VCIDS: Collaborative intrusion detection of actuator and sensor attacks on connected vehicles" appears at SecureComm 2017.
September 2016: Yang Lu receives the Milton and Albertha Langdon Memorial Graduate Fellowship.
June 2015: New book "Distributed optimization-based control of multi-agent networks in complex environments" appears.