James Usevitch

James Usevitch
James Usevitch

Role: PhD Aerospace (2016 - 2021)

Now: Assistant Professor @ BYU ECE

PhD Thesis: Advancements in Adversarially-Resilient Consensus and Safety-Critical Control for Multi-Agent Networks

Papers

Advances in the Theory of Control Barrier Functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems
Advances in the Theory of Control Barrier Functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems

Annual Reviews in Control 2024

@article{garg2024advances,
  title={Advances in the Theory of Control Barrier Functions: Addressing practical challenges in safe control synthesis for autonomous and robotic systems},
  author={Garg, Kunal and Usevitch, James and Breeden, Joseph and Black, Mitchell and Agrawal, Devansh and Parwana, Hardik and Panagou, Dimitra},
  journal={Annual Reviews in Control},
  volume={57},
  pages={100945},
  year={2024},
  publisher={Elsevier}
}
Adversarial Resilience for Sampled-Data Systems Under High-Relative-Degree Safety Constraints.

IEEE Trans. Autom. Control.

@article{DBLP:journals/tac/UsevitchP23,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Adversarial Resilience for Sampled-Data Systems Under High-Relative-Degree
                  Safety Constraints},
  journal      = {{IEEE} Trans. Autom. Control.},
  volume       = {68},
  number       = {3},
  pages        = {1537--1552},
  year         = {2023},
  url          = {https://doi.org/10.1109/TAC.2022.3157791},
  doi          = {10.1109/TAC.2022.3157791},
  timestamp    = {Sat, 11 Mar 2023 00:13:06 +0100},
  biburl       = {https://dblp.org/rec/journals/tac/UsevitchP23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Resilient Trajectory Propagation in Multirobot Networks.

IEEE Trans. Robotics

@article{DBLP:journals/trob/UsevitchP22,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Resilient Trajectory Propagation in Multirobot Networks},
  journal      = {{IEEE} Trans. Robotics},
  volume       = {38},
  number       = {1},
  pages        = {42--56},
  year         = {2022},
  url          = {https://doi.org/10.1109/TRO.2021.3127076},
  doi          = {10.1109/TRO.2021.3127076},
  timestamp    = {Wed, 23 Feb 2022 11:15:29 +0100},
  biburl       = {https://dblp.org/rec/journals/trob/UsevitchP22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Adversarial Resilience for Sampled-Data Systems using Control Barrier Function Methods.

ACC

@inproceedings{DBLP:conf/amcc/UsevitchP21,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Adversarial Resilience for Sampled-Data Systems using Control Barrier
                  Function Methods},
  booktitle    = {2021 American Control Conference, {ACC} 2021, New Orleans, LA, USA,
                  May 25-28, 2021},
  pages        = {758--763},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.23919/ACC50511.2021.9482659},
  doi          = {10.23919/ACC50511.2021.9482659},
  timestamp    = {Fri, 30 Jul 2021 11:11:53 +0200},
  biburl       = {https://dblp.org/rec/conf/amcc/UsevitchP21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Determining r- and (r, s)-robustness of digraphs using mixed integer linear programming.

Autom.

@article{DBLP:journals/automatica/UsevitchP20,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Determining r- and (r, s)-robustness of digraphs using mixed integer
                  linear programming},
  journal      = {Autom.},
  volume       = {111},
  year         = {2020},
  url          = {https://doi.org/10.1016/j.automatica.2019.108586},
  doi          = {10.1016/J.AUTOMATICA.2019.108586},
  timestamp    = {Thu, 20 Feb 2020 09:13:58 +0100},
  biburl       = {https://dblp.org/rec/journals/automatica/UsevitchP20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Resilient Finite-Time Consensus: A Discontinuous Systems Perspective.

ACC

@inproceedings{DBLP:conf/amcc/UsevitchP20,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Resilient Finite-Time Consensus: {A} Discontinuous Systems Perspective},
  booktitle    = {2020 American Control Conference, {ACC} 2020, Denver, CO, USA, July
                  1-3, 2020},
  pages        = {3285--3290},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.23919/ACC45564.2020.9147904},
  doi          = {10.23919/ACC45564.2020.9147904},
  timestamp    = {Sun, 08 Aug 2021 01:40:57 +0200},
  biburl       = {https://dblp.org/rec/conf/amcc/UsevitchP20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Resilient Leader-Follower Consensus to Arbitrary Reference Values in Time-Varying Graphs.

IEEE Trans. Autom. Control.

@article{DBLP:journals/tac/UsevitchP20,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Resilient Leader-Follower Consensus to Arbitrary Reference Values
                  in Time-Varying Graphs},
  journal      = {{IEEE} Trans. Autom. Control.},
  volume       = {65},
  number       = {4},
  pages        = {1755--1762},
  year         = {2020},
  url          = {https://doi.org/10.1109/TAC.2019.2934954},
  doi          = {10.1109/TAC.2019.2934954},
  timestamp    = {Tue, 30 Jun 2020 11:42:39 +0200},
  biburl       = {https://dblp.org/rec/journals/tac/UsevitchP20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Strong Invariance Using Control Barrier Functions: A Clarke Tangent Cone Approach.

CDC

@inproceedings{DBLP:conf/cdc/UsevitchGP20,
  author       = {James Usevitch and
                  Kunal Garg and
                  Dimitra Panagou},
  title        = {Strong Invariance Using Control Barrier Functions: {A} Clarke Tangent
                  Cone Approach},
  booktitle    = {59th {IEEE} Conference on Decision and Control, {CDC} 2020, Jeju Island,
                  South Korea, December 14-18, 2020},
  pages        = {2044--2049},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/CDC42340.2020.9303873},
  doi          = {10.1109/CDC42340.2020.9303873},
  timestamp    = {Fri, 04 Mar 2022 13:31:02 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/UsevitchGP20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Determining r-Robustness of Digraphs Using Mixed Integer Linear Programming.

ACC

@inproceedings{DBLP:conf/amcc/UsevitchP19,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Determining r-Robustness of Digraphs Using Mixed Integer Linear Programming},
  booktitle    = {2019 American Control Conference, {ACC} 2019, Philadelphia, PA, USA,
                  July 10-12, 2019},
  pages        = {2257--2263},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.23919/ACC.2019.8814405},
  doi          = {10.23919/ACC.2019.8814405},
  timestamp    = {Sun, 08 Aug 2021 01:40:57 +0200},
  biburl       = {https://dblp.org/rec/conf/amcc/UsevitchP19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Resilient Leader-Follower Consensus with Time-Varying Leaders in Discrete-Time Systems.

CDC

@inproceedings{DBLP:conf/cdc/UsevitchP19,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Resilient Leader-Follower Consensus with Time-Varying Leaders in Discrete-Time
                  Systems},
  booktitle    = {58th {IEEE} Conference on Decision and Control, {CDC} 2019, Nice,
                  France, December 11-13, 2019},
  pages        = {5432--5437},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/CDC40024.2019.9030246},
  doi          = {10.1109/CDC40024.2019.9030246},
  timestamp    = {Fri, 04 Mar 2022 13:30:46 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/UsevitchP19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Finite-Time Resilient Formation Control with Bounded Inputs.

CDC

@inproceedings{DBLP:conf/cdc/UsevitchGP18,
  author       = {James Usevitch and
                  Kunal Garg and
                  Dimitra Panagou},
  title        = {Finite-Time Resilient Formation Control with Bounded Inputs},
  booktitle    = {57th {IEEE} Conference on Decision and Control, {CDC} 2018, Miami,
                  FL, USA, December 17-19, 2018},
  pages        = {2567--2574},
  publisher    = {{IEEE}},
  year         = {2018},
  url          = {https://doi.org/10.1109/CDC.2018.8619697},
  doi          = {10.1109/CDC.2018.8619697},
  timestamp    = {Fri, 04 Mar 2022 13:30:11 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/UsevitchGP18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
Resilient Leader-Follower Consensus to Arbitrary Reference Values.

ACC

@inproceedings{DBLP:conf/amcc/UsevitchP18,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {Resilient Leader-Follower Consensus to Arbitrary Reference Values},
  booktitle    = {2018 Annual American Control Conference, {ACC} 2018, Milwaukee, WI,
                  USA, June 27-29, 2018},
  pages        = {1292--1298},
  publisher    = {{IEEE}},
  year         = {2018},
  url          = {https://doi.org/10.23919/ACC.2018.8431573},
  doi          = {10.23919/ACC.2018.8431573},
  timestamp    = {Sun, 08 Aug 2021 01:40:57 +0200},
  biburl       = {https://dblp.org/rec/conf/amcc/UsevitchP18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
r-Robustness and (r, s)-robustness of circulant graphs.

CDC

@inproceedings{DBLP:conf/cdc/UsevitchP17,
  author       = {James Usevitch and
                  Dimitra Panagou},
  title        = {r-Robustness and (r, s)-robustness of circulant graphs},
  booktitle    = {56th {IEEE} Annual Conference on Decision and Control, {CDC} 2017,
                  Melbourne, Australia, December 12-15, 2017},
  pages        = {4416--4421},
  publisher    = {{IEEE}},
  year         = {2017},
  url          = {https://doi.org/10.1109/CDC.2017.8264310},
  doi          = {10.1109/CDC.2017.8264310},
  timestamp    = {Fri, 04 Mar 2022 13:29:55 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/UsevitchP17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}