系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4053-4066.doi: 10.16182/j.issn1004731x.joss.201811003

• 综述 • 上一篇    下一篇

面向水下无人作战系统的MAS建模与仿真研究综述

梁洪涛1, 康凤举2, 傅妍芳3   

  1. 1. 陕西师范大学 物理学与信息技术学院,西安 710119;
    2. 西北工业大学 航海学院,西安 710072;
    3. 西安工业大学 计算机科学与工程学院,西安 710032
  • 收稿日期:2018-05-19 修回日期:2018-06-15 发布日期:2019-01-04
  • 作者简介:梁洪涛(1988-),男,陕西汉中,博士,讲师,研究方向为水下无人系统建模与仿真;康凤举(1947-),男,江苏南通,教授,研究方向为系统建模与仿真、先进控制技术。
  • 基金资助:
    陕西省2017年重点研发计划(2017 GY-085)

Overview of Multi-agents Modeling and Simulation for Underwater Unmanned Combat Systems

Liang Hongtao1, Kang Fengju2, Fu Yanfang3   

  1. 1. School of Physics and Information Technology, Shaanxi Normal University, X'an 710119, China;
    2. School of Marine Science and technology, Northwestern Polytechnical University, X'an 710072, China;
    3. School of Computer Science & Engineering, X'an Technological University, X'an 710032, China;
  • Received:2018-05-19 Revised:2018-06-15 Published:2019-01-04

摘要: 多UUV系统与多变的水下环境和繁杂的作战使命等作战要素构成复杂的水下无人系统,而多智能体建模技术成为研究该类复杂系统的主流方法。介绍了UUS发展过程及其特点,分析了多UUV系统协同作战建模核心内容;概述了MAS建模理论与方法研究现状,总结了基于MAS建模与仿真技术的多UUV协同作战系统研究成果及其不足。结合MAS和生物免疫机理建模优势,构建了免疫智能体交互网络建模理论方法,围绕MUCCS的智能性、协同性建模与仿真问题展开研究。该方法不仅能丰富和发展MAS理论方法体系,可为研究不同领域的异构无人作战系统建模研究提供新的视角。

关键词: 水下无人系统, 多智能体建模与仿真, 生物免疫机理

Abstract: Military UUV is developing toward the direction of intellectualization and coordination of multi-UUV system. It is composed of complex underwater unmanned system (UUS) with changeable underwater environment and complex combat mission. Multi-agents (MAS) modeling technology has become the mainstream method to study this kind of complex system. The development and characteristics of UUS are briefly and comprehensively reviewed. The latest developments of MAS theory are systematically summarized, and MAS modeling and simulation technology for multi-UUV cooperative combat system (MUCCS) are analyzed. A novel MAS theory method, that is immune agent interactive network (IAIN), is proposed, which combines the modeling advantages of MAS and biological immune mechanism to solve the bottlenecks of intelligence and collaborative modeling for MUCCS. The proposed IAIN not only enriches and develops MAS theory, but also provides a new perspective for modeling study of heterogeneous unmanned combat systems in different fields.

Key words: underwater unmanned system, multi-agents, biological immune mechanism

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