Three challenges in cyber-physical systems

Three challenges in cyber-physical systems
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网络物理系统的三大挑战

DOI:
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发表时间:
2016
期刊:
International Conference on Communication Systems and Networks
影响因子:
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通讯作者:
Zhihao Jiang
Zhihao Jiang
中科院分区:
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文献类型:
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作者:
Rahul Mangharam;Houssam Abbas;Madhur Behl;Kuk Jin Jang;Miroslav Pajic;Zhihao Jiang

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计算、通信和控制与物理系统的紧密耦合,例如人体内闭环医疗设备的致动,通过协调大型工业工厂的控制器来最大限度地降低峰值功率,以及自动驾驶汽车的快速生命关键决策,提出了一系列基本而独特的挑战。其中每一个都需要在多个科学、人类和系统学科的交叉点上采取新的方法。我们讨论了五个这样的挑战,需要创造性的见解和应用基于模型的设计,控制系统,调度理论,正式的方法,统计机器学习和特定领域的实验。我们提出以下问题:(1)植入一个自主医疗设备,在5-7年的时间内控制您的心脏。您如何保证器械中的软件在所有生理条件下提供安全有效的治疗?(2)美国的夏季电价高峰是平均电价的32倍以上,冬季电价高峰是平均电价的86倍。建筑物如何在快速的时间尺度上应对能源价格的大幅波动?(3)虽然无线已成功用于开环监控和跟踪,但我们如何通过无线控制器网络操作闭环控制系统。此外,我们如何才能确保在节点/链路故障和拓扑结构变化的情况下进行鲁棒、最佳和安全的控制?
The tight coupling of computation, communication and control with physical systems such as actuation of closed-loop medical devices within the human body, peak power minimization by coordination of controllers across large industrial plants, and fast life-critical decision making by autonomous vehicles, present a set of fundamental and unique challenges. Each of these require new approaches at the intersection of multiple scientific, human and systems disciplines. We discuss five such challenges which require creative insights and application of model-based design, control systems, scheduling theory, formal methods, statistical machine learning and domain-specific experimentation. We ask the following questions: (1) An autonomous medical device is implanted to control your heart over a period of 5-7 years. How do you guarantee the software in the device provides safe and effective treatment under all physiological conditions? (2) Electricity prices in the US have summer peaks that are over 32× their average prices and winter peaks that are 86×. How can buildings respond to massive swings in energy prices at fast time scales? (3) While wireless has been successfully used for open-loop monitoring and tracking, how can we operate closed-loop control systems over a network of wireless controllers. Furthermore, how can we ensure robust, optimal and secure control in the presence of node/link failures and topology changes?