区分弹性与鲁棒性:语境二元论、互动论与博弈论范式
Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms
AI总结:
本文区分了控制系统的鲁棒性与弹性,通过三阶段模型、玩具模型及博弈论统一框架探究二者关系,提出需构建弹性理论与量化指标,整合技术与非技术方案实现系统全面弹性,为弹性社会建设提供科学基础。
摘要:
本文阐释了控制系统中鲁棒性(robustness)与弹性(resilience)的区别。弹性面临着一类独特的挑战,为那些将弹性置于鲁棒性之上的反馈系统、网络和机器的控制器设计带来了新的问题。本文通过一个三阶段模型探究弹性的概念,强调了对弹性事件进行主动准备和自动化响应的必要性。研究首先采用一个玩具模型(toy model)说明弹性与鲁棒性之间的权衡关系,随后深入探讨语境二元论与互动论,并引入博弈论范式作为整合弹性与鲁棒性的统一框架。本文最后讨论了鲁棒性与弹性的相互作用,指出建立全面的弹性理论与量化指标、并通过博弈论框架实现形式化是必要的。研究还拓展至系统之系统(system-of-systems)弹性及各类机制,包括整合AI技术与网络保险等非技术解决方案,以实现控制系统的全面弹性。随着2030年临近,系统与控制领域正处于搭建弹性科学基础的绝佳时机,可通过衔接反馈控制理论、博弈论与学习理论实现这一目标。弹性控制系统将提升整体生活质量,推动弹性社会发展,并在气候变化、冲突、网络不安全等全球挑战中产生社会规模的影响。
英文摘要:
This article explains the distinctions between robustness and resilience in control systems. Resilience confronts a distinct set of challenges, posing new ones for designing controllers for feedback systems, networks, and machines that prioritize resilience over robustness. The concept of resilience is explored through a three-stage model, emphasizing the need for a proactive preparation and automated response to elastic events. A toy model is first used to illustrate the tradeoffs between resilience and robustness. Then, it delves into contextual dualism and interactionism, and introduces game-theoretic paradigms as a unifying framework to consolidate resilience and robustness. The article concludes by discussing the interplay between robustness and resilience, suggesting that a comprehensive theory of resilience and quantification metrics, and formalization through game-theoretic frameworks are necessary. The exploration extends to system-of-systems resilience and various mechanisms, including the integration of AI techniques and non-technical solutions, like cyber insurance, to achieve comprehensive resilience in control systems. As we approach 2030, the systems and control community is at the opportune moment to lay scientific foundations of resilience by bridging feedback control theory, game theory, and learning theory. Resilient control systems will enhance overall quality of life, enable the development of a resilient society, and create a societal-scale impact amid global challenges such as climate change, conflicts, and cyber insecurity.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。