James Usevitch
  • Bio
  • MAGICC Lab
  • Research Team
  • Papers
  • Projects
  • Recent & Upcoming Talks
    • A Multi-Agent Graph Neural Network for Efficient Task Assignments
  • Blog
    • Paper Accepted to ACC 2025
    • Paper Accepted to AAMAS 2025
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment
    • Safety for Time-Varying Parameterized Sets Using Control Barrier Function Methods
    • Triangle-Decomposable Graphs for Isoperimetric Robots
    • Advances in the theory of control barrier functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems
    • Adversarial resilience for sampled-data systems under high-relative-degree safety constraints
    • Advancements in Adversarially-Resilient Consensus and Safety-Critical Control for Multi-Agent Networks
    • Adversarial resilience for sampled-data systems using control barrier function methods
    • Resilient trajectory propagation in multirobot networks
    • Determining r- and (r, s)-Robustness of Digraphs using Mixed Integer Linear Programming
    • Resilient Finite Time Consensus: A Discontinuous Systems Perspective
    • Strong invariance using control barrier functions: A Clarke tangent cone approach
    • Determining r-Robustness of Digraphs Using Mixed Integer Linear Programming
    • Resilience in Multi-Agent Systems: Recent Contributions
    • Resilient leader-follower consensus to arbitrary reference values in time-varying graphs
    • Finite-Time Resilient Formation Control with Bounded Inputs
    • Resilient Leader-Follower Consensus to Arbitrary Reference Values
    • r-Robustness and (r, s)-Robustness of Circulant Graphs
  • Projects
    • ROSFlight
    • Dynamix - A Lightweight Differentiable Control Simulator
    • Robust and Resilient Multi-Agent Consensus and Broadcasting
    • Safety for Multi-Agent Systems using Control Barrier Function Methods
    • Machine Learning for Combinatorial Optimization
  • Projects
  • Experience
  • Research Team
    • Learn JavaScript
    • Learn Python
  • Teaching
    • Learn JavaScript
    • Learn Python

Resilient leader-follower consensus to arbitrary reference values in time-varying graphs

Jan 1, 2019·
James Usevitch
,
Dimitra Panagou
· 0 min read
Cite
Type
Journal article
Publication
IEEE Transactions on Automatic Control
Last updated on Jan 1, 2019
← Resilience in Multi-Agent Systems: Recent Contributions Jan 1, 2019
Finite-Time Resilient Formation Control with Bounded Inputs Jan 1, 2018 →

© 2025 James Usevitch. This work is licensed under CC BY-SA 4.0 unless otherwise noted.

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.