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Kripke modelling approaches of a multiple robots system with minimalist communication: A formal approach of choice

机译:具有简约通信的多机器人系统的Kripke建模方法:一种正式的选择方法

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Real-time, critical systems such as avionics software and hardware chips, owe their reliability to formal modelling approaches from their design phase. Following this philosophy, an intuitive yet mathematically rigorous approach of Kripke modelling is used for representing a co-operative, decentralised mobile robot group. The robot group operates with minimalist communication and no a priori knowledge of the operating environment for achieving interception and coordinated time-over-target. This scenario is a prototype of a simple task envisaged for a group of unmanned aerial vehicles (UAVs). As such, the resulting behaviour of the UAVs must be designed and analysed, so that guaranteed performance is ensured if only to achieve flight certification. Hence, there is a need for a mathematically rigorous approach, or a formal modelling technique. Several such techniques are briefly reviewed and it is argued that Kripke modelling is the best suited one. Kripke models consist of, firstly, a set of possible worlds ( system configurations), secondly, an accessibility relation in the set ( transitions between the worlds) and thirdly, a labelling function ( which logical statements are true in each world). This approach represents continuous dynamics and discrete decision making of the robots in a unified way. Desirable properties of co-operation can be precisely expressed using temporal logic statements defining safety, liveness etc. Whether a group of robots, whose behaviour is formalised with Kripke models, possesses such properties is then verified using automated model checking tools. Rationale for this approach along with simulation and verification results are presented in the paper.
机译:实时,关键的系统(例如航空电子软件和硬件芯片)的可靠性源于其设计阶段的正式建模方法。遵循这一理念,使用了Kripke建模的一种直观而又严格的数学方法来表示一个协作的,分散的移动机器人组。机器人组以最小限度的通信进行操作,并且对操作环境没有先验知识,无法实现拦截和目标协调时间。该方案是为一组无人机(UAV)设想的一项简单任务的原型。因此,必须设计和分析无人机的最终性能,以便仅通过飞行认证即可确保性能得到保证。因此,需要数学上严格的方法或正式的建模技术。简要回顾了几种此类技术,并认为Kripke建模是最合适的一种。 Kripke模型首先包括一组可能的世界(系统配置),其次是该集合中的可访问性关系(这些世界之间的过渡),其次是一个标记函数(每个世界中的逻辑陈述都是正确的)。这种方法以统一的方式代表了机器人的连续动力学和离散决策。可以使用定义安全性,活动性等的时态逻辑语句来精确表达合作的理想属性。然后,使用自动模型检查工具验证一组机器人的行为是否已使用Kripke模型进行形式化,以确认它们的行为。本文介绍了这种方法的原理以及仿真和验证结果。

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