Multi-target searching and capturing control method and system for swarm robots

A technology of swarm robots and control methods, applied in general control systems, control/regulation systems, adaptive control, etc., to achieve good adaptability
CN112684700AActive Publication Date: 2021-04-20SHANTOU UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
SHANTOU UNIV
Publication Date
2021-04-20

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Abstract

The invention relates to the technical field of swarm robot control, in particular to a multi-target searching and capturing control method and system for swarm robots, and the method comprises the steps: obtaining a plurality of basic elements in a basic element library, and forming a gene regulation and control network model according to a topological structure obtained through the combination of the plurality of basic elements; extracting parameters in the gene regulation and control network model, and performing multi-objective optimization on the parameters according to a fitness function to obtain an optimized gene regulation and control network model; determining the group aggregation form according to the optimized gene regulation and control network, andcontrolling the group robot to perform multi-target searching and capturing in the group aggregation form. Multiple targets can be captured in a complex dynamic environment, and the method has good adaptability.
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Description

technical field

[0001] The invention relates to the technical field of swarm robot control, in particular to a multi-target search and capture control method and system for swarm robots. Background technique

[0002] The gene regulatory network refers to the network formed by the interaction relationship between genes and genes in a cell (or in a specific genome). Among the many interaction relationships, it specifically refers to the interaction between genes based on gene regulation. Gene regulatory network is the mechanism for controlling gene expression in organisms, and its research has extensive biological significance, and is an important research field of genetics and molecular genetics.

[0003] Genetic programming can generate almost any gene structure with parameters through the user's definition of the genetic programming function. The network structure with parameters generated by genetic programming has similar performance to deep neural networks, and has inte...

Claims

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