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Risk-informed control systems for improved operational performance and decision-making

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  • Christoph A Thieme
  • Børge Rokseth
  • Ingrid B Utne

Abstract

Autonomous systems, including airborne, land-based, marine, and underwater vehicles, are increasingly present in the world. One important aspect of autonomy is the capability to process information and to make independent decisions for achieving a mission goal. Information on the level of risk related to the operation may improve the decision-making process of autonomous systems. This article describes the integration of risk analysis methods with the control system of autonomous and highly automated systems that are evaluated during operation. Four main areas of implementation are identified; (i) risk models used to directly make decisions, (ii) use of the output of risk models as input to decision-making and optimization algorithms, (iii) the output of risk models may be used as a constraint in or modifying constraints of algorithms, and (iv) the output of risk models may be used to inform representations or maps of the environment to be used in path planning. A case study on a dynamic positioning controller of an offshore supply vessel exemplifies the concepts described in this article. In addition, it demonstrates how risk model output may be used within a hybrid controller.

Suggested Citation

  • Christoph A Thieme & Børge Rokseth & Ingrid B Utne, 2023. "Risk-informed control systems for improved operational performance and decision-making," Journal of Risk and Reliability, , vol. 237(2), pages 332-354, April.
    • Handle: RePEc:sae:risrel:v:237:y:2023:i:2:p:332-354
    DOI: 10.1177/1748006X211043657
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    References listed on IDEAS

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    1. Aven, Terje, 2010. "On how to define, understand and describe risk," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 623-631.
    2. Sophie Wintersberger & Muhammad Azmat & Sebastian Kummer, 2019. "Are We Ready to Ride Autonomous Vehicles? A Pilot Study on Austrian Consumers’ Perspective," Logistics, MDPI, vol. 3(4), pages 1-20, September.
    3. Rokseth, Børge & Utne, Ingrid Bouwer & Vinnem, Jan Erik, 2018. "Deriving verification objectives and scenarios for maritime systems using the systems-theoretic process analysis," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 18-31.
    4. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    5. Aven, Terje, 2012. "The risk concept—historical and recent development trends," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 33-44.
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