A resilient control algorithm to distributed optimization under DoS attacks

Summary This article focuses on a distributed optimization problem under an undirectd and connected network affected by DoS attacks. First, new event‐triggered mechanisms are developed to schedule the communication between agents. Then, an event‐based resilient distributed optimization algorithm tha...

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Bibliographic Details
Published in:International journal of robust and nonlinear control Vol. 34; no. 15; pp. 10346 - 10364
Main Authors: Liu, Dan, Li, Liwei
Format: Journal Article
Language:English
Published: Bognor Regis Wiley Subscription Services, Inc 01.10.2024
Subjects:
Algorithms
Control theory
Design optimization
distributed optimization
DoS attacks
event‐triggered control
Graph theory
ISSN:1049-8923, 1099-1239
Online Access:Get full text
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Summary:Summary This article focuses on a distributed optimization problem under an undirectd and connected network affected by DoS attacks. First, new event‐triggered mechanisms are developed to schedule the communication between agents. Then, an event‐based resilient distributed optimization algorithm that removes the requirement of continuous communication in the existing results is designed to achieve consensus optimization. Assisted by the design of regulator equations and the algebraic graph theory, it proves that the proposed algorithm is exponentially convergent. Moreover, Zeno behavior can be excluded by reductio ad absurdum. The simulation results validate that the proposed algorithm is effective.
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ISSN:1049-8923
1099-1239
DOI:10.1002/rnc.7520