A Sample-Based Algorithm for Approximately Testing r-Robustness of a Digraph-Reference-Cited by-同舟云学术

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A Sample-Based Algorithm for Approximately Testing r-Robustness of a Digraph

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Yi Yuhao¹,Wang Yuan¹,He Xingkang²,Patterson Stacy³,Johansson Karl H.¹

Affiliation:

1. KTH Royal Institute of Technology,Division of Decision and Control Systems, School of Electrical Engineering and Computer Science

2. University of Notre Dame,Department of Electrical Engineering,Notre Dame,IN,USA,46556

3. Rensselaer Polytechnic Institute,Department of Computer Science,Troy,NY,USA,12180

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09993257.pdf?arnumber=9993257

Reference26 articles.

1. Byzantine-resilient distributed observers for LTI systems

2. Defending non-Bayesian learning against adversarial attacks

3. A Notion of Robustness in Complex Networks

4. Byzantine-resilient distributed state estimation: A min-switching approach

5. Fault-Tolerant Rendezvous of Multirobot Systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determining r- and (r, s)-robustness of multiagent networks based on heuristic algorithm;Neurocomputing;2024-09

2. The Role of Confidence for Trust-Based Resilient Consensus;2024 American Control Conference (ACC);2024-07-10

3. A Sample-Based Algorithm for Approximately Testing r-Robustness of a Digraph;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

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