Second-order multi-agent distributed resource allocation method, system and storage medium under communication restriction and network attack

By constructing a second-order multi-agent system model and a dynamic event triggering mechanism, the problems of unpredictable convergence time and insufficient robustness of distributed resource allocation methods under communication constraints and network attacks are solved, and efficient resource allocation within a preset time is achieved.

CN122437776APending Publication Date: 2026-07-21NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Filing Date
2026-05-29
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing distributed resource allocation methods have difficulty in pre-setting convergence time under communication constraints and network attacks, and lack robustness, making it difficult to meet the needs of real-world scenarios requiring high response speeds.

Method used

A second-order multi-agent system model is constructed, and a preset time function and dynamic event triggering mechanism are introduced. Combined with a directed balanced network attack model and a distributed controller with decoupled auxiliary variables, the resource allocation process is optimized.

Benefits of technology

It achieves convergence within a preset time, reduces communication overhead, and maintains robustness under network attack conditions, making it suitable for complex systems such as smart grids and drone swarms.

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Abstract

The application discloses a kind of communication restricted and under second-order multi-agent distributed resource allocation method, system and storage medium under network attack, the method includes: the second-order multi-agent system model of introducing preset time function is constructed, each intelligent agent is interacted by directed communication network;Establish edge attack network attack model and resource allocation mathematical constraint model;Based on multi-agent collaborative consistency, lagrange multiplier method and negative feedback, the second-order distributed controller containing decoupling auxiliary variable is structured, to solve global objective function minimization problem;Design dynamic event triggering mechanism, and intelligent agent only updates neighborhood information when trigger condition is satisfied according to dynamic threshold value.The application can reduce the communication frequency between intelligent agents under the condition of topology switching caused by edge attack and communication restriction, ensure convergence to global optimal allocation within preset time, has the advantages of convergence time can be set, strong robustness and low communication overhead.
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