CPS:Small:Collaborative Research: Incentivizing Desirable User Behavior in a Class of CPS

CPS:Small:协作研究：在一类 CPS 中激励期望的用户行为

• 批准号: 1739295
• 负责人: Vijay Gupta
• 金额: $ 25万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739295&HistoricalAwards=false
• 关键词: CPS; Small; Collaborative; Research; Incentivizing

In Cyberphysical Systems (CPS) such as large scale infrastructure systems, individual users are shifting from being passive consumers of services to active participants. This shift promises societal, economic, and environmental benefits. For example, turning consumers into "prosumers" through distributed renewable energy integration can improve sustainability, and turning users into sources of data about traffic and road conditions can help alleviate congestion. However, an explosion of decision makers also leads to heterogeneity in concerns, aims, and quality of decision making. Participants will optimize their decisions on data collection, data sharing, and actuation based on their own self-interest. In an interconnected system, these decisions will affect the system state, and hence, the utilities other participants derive from the system. In extreme cases, undesirable and unintended consequences such as instability can also ensue from actions of a few decision makers. Thus, there is an urgent need to understand and modulate decision making by various participants so that they internalize the impact on system performance and utilities of the other participants that their decisions produce; the proposed research solves basic problems in this domain. The proposed research has potentially substantial social and economic impact. The general trend in CPS systems, such as infrastructure systems, is to allow users to become active participants. However, this will challenge the traditional algorithms and organization for such systems. Since most CPS systems provide basic services to the population, designs that guarantee reliable operation in spite of strategic behavior of self-interested participants are needed. The research is coupled with an education plan that includes integration of research and education, curriculum design, student advising and training, as well as outreach.Existing approaches such as cooperative control or competitive game theory in which participants are price takers are insufficient to consider strategic behavior by participants. Motivated by this observation, this proposal will advance the science of CPS by (i) abstracting this problem into one of designing contracts by which the decisions of strategic users, who may anticipate the effect of their actions and misreport any information, can be aligned to obtain desired system performance, (ii) presenting new mechanisms for this model under several assumptions inspired by large scale CPS such as smart infrastructure systems, and (iii) demonstrating the efficacy of this framework by applying it to several CPS case studies. The proposed approach couples optimization and systems theory with economics and mechanism design as well as models and constraints from specific infrastructure systems.

在网络物理系统（CPS）（例如大型基础架构系统）中，各个用户正在从被动的服务消费者转移到活跃的参与者。这种转变有望社会，经济和环境利益。 例如，通过分布式可再生能源整合将消费者转化为“生产商”可以提高可持续性，并将用户转变为有关交通和道路状况的数据来源可以帮助减轻拥堵的潮流。但是，决策者的爆炸也导致了问题，目标和决策质量的异质性。参与者将根据自己的利益来优化他们在数据收集，数据共享和驱动的决定。在互连的系统中，这些决定将影响系统状态，因此，其他参与者从系统中衍生出来。在极端情况下，少数决策者的行动也可能导致不稳定的不稳定后果（例如不稳定）。 因此，迫切需要理解和调节各种参与者的决策，以便将他们的决策产生的对其他参与者的系统绩效和实用程序的影响内部化。拟议的研究解决了该领域的基本问题。 拟议的研究可能会产生重大的社会和经济影响。 CPS系统（例如基础架构系统）的一般趋势是使用户成为活跃的参与者。但是，这将挑战此类系统的传统算法和组织。由于大多数CPS系统都为人群提供了基本服务，因此尽管需要自私的参与者的战略行为，但仍能保证可靠运行的设计。 该研究与一项教育计划结合，其中包括研究和教育，课程设计，学生建议和培训以及宣传。存在诸如合作控制或竞争性游戏理论之类的方法，在这些方法中，参与者是价格接受者不足以考虑参与者的战略行为。 Motivated by this observation, this proposal will advance the science of CPS by (i) abstracting this problem into one of designing contracts by which the decisions of strategic users, who may anticipate the effect of their actions and misreport any information, can be aligned to obtain desired system performance, (ii) presenting new mechanisms for this model under several assumptions inspired by large scale CPS such as smart infrastructure systems, and (iii) demonstrating the efficacy of this通过将其应用于几个CPS案例研究中的框架。提出的方法伴侣优化和系统理论具有经济学和机制设计，以及特定基础设施系统的模型和约束。

项目成果

Strategic Battery Storage Management of Aggregators in Energy Demand Networks

能源需求网络聚合器的战略电池存储管理

• DOI: 10.1109/ccta.2018.8511539
• 发表时间: 2018
• 期刊: 2018 IEEE Conference on Control Technology and Applications (CCTA
• 作者: Okajima, Yusuke;Hirata, Kenji;Gupta, Vijay;Uchida, Kenko
• 通讯作者: Uchida, Kenko

Pricing Energy in the Presence of Renewables

可再生能源的能源定价

• DOI: 10.23919/acc.2018.8431899
• 发表时间: 2018
• 期刊: 2018 Annual American Control Conference (ACC
• 作者: Zeinalzadeh, Ashkan;Ghavidel, Donya;Gupta, Vijay
• 通讯作者: Gupta, Vijay

A Reputation-Based Contract for Repeated Crowdsensing With Costly Verification

• DOI: 10.1109/tsp.2019.2952050
• 发表时间: 2019-11
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: D. G. Dobakhshari;Parinaz Naghizadeh;M. Liu;V. Gupta

Embracing risk dependency in designing cyber-insurance contracts

• DOI: 10.1109/allerton.2017.8262837
• 发表时间: 2017-10
• 期刊: 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
• 作者: Mohammad Mahdi Khalili;Parinaz Naghizadeh Ardabili;M. Liu

A Real Options Market-Based Approach to Increase Penetration of Renewables

基于实物期权市场的方法来提高可再生能源的渗透率

• DOI: 10.1109/tsg.2019.2942258
• 发表时间: 2020
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Aguiar, Nayara;Gupta, Vijay;Khargonekar, Pramod P.
• 通讯作者: Khargonekar, Pramod P.