Azad M. Madni, Michael Sievers, Ayesha Madni, Edwin Ordoukhanian, Parisa Pouya
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引用次数: 0
摘要
对于长期在不确定环境中运行、极有可能发生破坏性事件的系统而言,恢复能力是一个亟需具备的特性。目前的复原力方法采用的是临时方法和零敲碎打的解决方案,难以验证和测试,也无法扩展。此外,很难评估这种临时性 "复原力解决方案 "的长期影响。本文介绍了一种基于灵活合约的方法,该方法结合了用于验证和测试的形式化方法以及灵活断言和概率建模,以处理任务执行过程中的不确定性。灵活合约(FC)是一种混合建模结构,既能促进系统验证和测试,又能提供应对非确定性所需的灵活性。本文说明了在部分可观测的动态环境中使用 FC 进行多无人机群控制的情况。不过,该方法具有足够的通用性,可用于其他领域,如自动驾驶汽车和自适应电力/能源网。
Extending Formal Modeling for Resilient Systems Design
Resilience is a much-needed characteristic in systems that are expected to operate in uncertain environments for extended periods with a high likelihood of disruptive events. Resilience approaches today employ ad hoc methods and piece-meal solutions that are difficult to verify and test, and do not scale. Furthermore, it is difficult to assess the long-term impact of such ad hoc “resilience solutions.” This paper presents a flexible contract-based approach that employs a combination of formal methods for verification and testing and flexible assertions and probabilistic modelling to handle uncertainty during mission execution. A flexible contract (FC) is a hybrid modelling construct that facilitates system verification and testing while offering the requisite flexibility to cope with non-determinism. This paper illustrates the use of FCs for multi-UAV swarm control in, partially observable, dynamic environments. However, the approach is sufficiently general for use in other domains such as self-driving vehicle and adaptive power/energy grids.
期刊介绍:
Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.