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基于线性时序逻辑的最优巡回路径规划

肖云涛 欧林林 俞立

肖云涛, 欧林林, 俞立. 基于线性时序逻辑的最优巡回路径规划. 自动化学报, 2014, 40(10): 2126-2133. doi: 10.3724/SP.J.1004.2014.02126
引用本文: 肖云涛, 欧林林, 俞立. 基于线性时序逻辑的最优巡回路径规划. 自动化学报, 2014, 40(10): 2126-2133. doi: 10.3724/SP.J.1004.2014.02126
XIAO Yun-Tao, OU Lin-Lin, YU Li. Optimal Patrolling Path Planning via Linear Temporal Logic. ACTA AUTOMATICA SINICA, 2014, 40(10): 2126-2133. doi: 10.3724/SP.J.1004.2014.02126
Citation: XIAO Yun-Tao, OU Lin-Lin, YU Li. Optimal Patrolling Path Planning via Linear Temporal Logic. ACTA AUTOMATICA SINICA, 2014, 40(10): 2126-2133. doi: 10.3724/SP.J.1004.2014.02126

基于线性时序逻辑的最优巡回路径规划

doi: 10.3724/SP.J.1004.2014.02126
基金项目: 

国家自然科学基金(61273117,61273116), 浙江省自然科学基金(Y1111012)资助

详细信息
    作者简介:

    肖云涛 浙江工业大学信息工程学院硕士研究生. 主要研究方向为机器人路径规划, 嵌入式系统.E-mail: ctcexiaoyt@foxmail.com

Optimal Patrolling Path Planning via Linear Temporal Logic

Funds: 

Supported by National Natural Science Foundation of China (61273117,61273116), and Natural Science Foundation of Zhejiang Province (Y1111012)

  • 摘要: 基于线性时序逻辑(Linear temporal logic, LTL)的路径规划方法中, 多点巡回路径规划问题尚无有效解决方案. 为了在道路网络中实现最优巡回监测, 提出了基于LTL的最优巡回路径规划方法. 首先, 将环境建模成一个切换系统, 用LTL语言描述包含多个巡回点和障碍物的任务需求; 接着, 利用循环移位法构建能够融合任务需求和环境模型的扩展乘机自动机, 以建立路径信息完整的网络拓扑; 最后, 采用基于迪科斯彻法的最优综合算法搜索扩展乘机自动机网络上的最优路径, 从而获得能够满足复杂任务需求的最优巡回路径. 仿真结果表明, 该方法能够有效实现最优巡回路径规划.
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出版历程
  • 收稿日期:  2013-08-07
  • 修回日期:  2014-02-17
  • 刊出日期:  2014-10-20

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