基于多智能体的智能自主系统任务可靠性评估方法

Task reliability assessment method for autonomous intelligent system based on multi-agent approach

  • 摘要: 【目的】针对智能自主系统组成要素解耦、系统状态多变、故障传播规律复杂等特点导致其任务可靠性难以准确评估的问题,本文提出一种基于多智能体的智能自主系统任务可靠性评估方法。【方法】通过构建基于双层网络结构的可靠性仿真框架,实现智能自主系统信息传播过程和故障传播过程的分离表达与耦合关联;通过设计智能自主系统中各类组成元素的属性、行为与接口,搭建具备通用性的故障传播与状态切换机制;在分析智能自主系统任务可靠性影响要素的基础上,制定了多阶段任务成功判据;基于Anylogic仿真平台,开发具备单次过程仿真与多次蒙特卡洛仿真能力的智能自主系统任务可靠性评估模型。【结果】仿真结果表明,该方法能够实现智能自主系统典型任务的可靠性定量评估,并能够挖掘影响智能自主系统任务可靠性的关键故障因素。【结论】该方法的提出有利于实现智能自主系统的状态感知与能力自主组织。

     

    Abstract: Objectives Aiming at the problems that the task reliability of autonomous intelligent system is difficult to accurately evaluate due to the characteristics of decoupling of components, changing system states and complex fault propagation laws, this paper proposes a multi-agent based task reliability evaluation method for autonomous intelligent system. MethodsBy constructing a reliability simulation framework based on double-layer network structure, the separation expression and coupling correlation of information propagation process and fault propagation process of autonomous intelligent system are realized. By designing the attributes, behaviors and interfaces of various components in the autonomous intelligent system, a universal fault propagation and state switching mechanism is built. Based on the analysis of the factors affecting the task reliability of autonomous intelligent system, the multi-stage task success criterion is established. Based on Anylogic simulation platform, the task reliability evaluation model of autonomous intelligent system with the capability of single process simulation and multiple Monte Carlo simulation is developed. Results The simulation results show that the proposed method can realize the quantitative evaluation of the reliability of typical tasks of intelligent autonomous systems, and can explore the key fault factors affecting the task reliability of intelligent autonomous systems.Conclusions The proposed method is c to realize the state perception and capability autonomous organization of autonomous intelligent system.

     

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