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Dynamic Network Topology Construction Method of Starling Swarm Intelligent Groups for Unmanned Systems

A dynamic network and construction method technology, applied in general control systems, control/regulation systems, instruments, etc., can solve the problems of high requirements for network connectivity and information dissemination performance, and achieve the effect of low communication costs

Active Publication Date: 2021-05-04
WUHAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Compared with the centralized control method, the distributed control method has better robustness and flexibility, but the system has higher requirements for network connectivity and information dissemination performance

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  • Dynamic Network Topology Construction Method of Starling Swarm Intelligent Groups for Unmanned Systems
  • Dynamic Network Topology Construction Method of Starling Swarm Intelligent Groups for Unmanned Systems
  • Dynamic Network Topology Construction Method of Starling Swarm Intelligent Groups for Unmanned Systems

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Embodiment Construction

[0042] The technical solutions of the present invention will be specifically described below in conjunction with the accompanying drawings and embodiments.

[0043] The technical solution of the present invention proposes to map the current biological findings to the cooperative function of the agent: biologists have carried out long-lasting and in-depth research on the behavior of biological clusters, especially densely condensed groups, such as sardine swarms and locust swarms And the large-scale and orderly activities of creatures such as starling flocks. Scientists are still unable to explain how the large number of sardines move in unison. Observation experiments on 20,000 locusts in a laboratory at Oxford University found that when locusts gather, they cannibalize to form swarms. Although the natural causes of starling flocks have not been fully explained scientifically, the latest PNAS research results [Ballerini et al.2008; Cavagna et al., 2010] show that the flocking...

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Abstract

The present invention proposes a method for constructing a dynamic network topology of a group-type intelligent group oriented to an unmanned system, which implements network topology construction to realize agent group collaboration, including initializing the agent group and corresponding parameters; setting a network state conversion mechanism, for the current frame, according to The physical location of the agent group and obstacles is judged to perform corresponding network state operations. If there is no obstacle, a labeled small-world network will be constructed. If the group is about to approach the obstacle-affected area, a 6-neighbor network will be constructed. If the group is located in the obstacle-affected area, the network topology will be split; Update the speed and position of each agent in the agent group at the next moment until the agent group reaches the destination or reaches the maximum number of iterations. The synchronization ability of the agent group system of the present invention is higher than that of traditional regular networks, random networks, etc., and has scalability and stability, and has very broad application prospects in unmanned systems.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence swarm intelligence application, and in particular relates to a method for constructing a dynamic network topology of starling swarms for unmanned systems. Background technique [0002] Unmanned system is a hot topic that countries around the world are competing to study, and its technology is developing in the direction of clustering, autonomy, and intelligence. Unmanned systems, taking UAVs as an example, such as UAV autonomous flight control, UAV swarm dense formation, UAV swarm confrontation and other applications, often require a certain scale of air agents (such as sensors, aircraft , robots, etc.) in order to complete precise flight missions in close cooperation. Information interaction between agents plays a very important role in how to maximize the effect of teamwork in agent group collaboration. Without information interaction, the agent will become an isolated individu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 谢榕
Owner WUHAN UNIV