7th Midwest Workshop on Control and Game Theory. To Be Held at Michigan State University, East Lansing, MI April 28-29, 2018.
第七届中西部控制与博弈论研讨会。
基本信息
- 批准号:1823684
- 负责人:
- 金额:$ 2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-06-01 至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Systematic modeling, analysis, and design of social, economical, and technological systems require confluence of ideas from diverse scientific disciplines, including control theory, optimization, economics and game theory. These systems often involve multiple decision-making agents interacting over a network and form a subset of so-called cyber-physical-human systems. Examples of such systems include smart grid, connected and autonomous vehicles, smart manufacturing, and mixed human-automata systems. Recent advances in technology have made these systems increasingly pervasive in a broad range of applications. Effective design of these systems requires interactions among experts from engineering, economics, and social sciences as well as industry. This forms the basis for organizing the 7th Midwest Workshop on Controls and Game Theory on April 28 - 29, 2018 in East Lansing, MI, where leading experts on controls, optimization, game theory, economics and computation from the Midwestern states are brought together to facilitate interdisciplinary and cross-disciplinary research interactions and collaborations. The purpose of the workshop is to facilitate and enhance research discussions and collaborations among experts in a broad range of disciplines, including biology, economics, and engineering. The workshop has a broader agenda than the previous editions and involves an increased participation from industry. The invited speakers are leading experts in the areas of controls, game theory, applied probability, computation, dynamical systems, economics, and optimization. The three sub-themes, (i) networked control systems, (ii) application of game theory and optimization to societal systems, and (iii) connected and autonomous vehicles, ensure that the broad agenda of the workshop is focused both on theory and application of cyber-physical-human systems. The workshop also includes a poster session in which students and postdocs present their current research. The feedback and mentoring on their research from the leading experts will tremendously benefit these young researchers. The invited speakers are selected to ensure a broad representation of research areas and such exposure will also benefit young researchers immensely.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
社会、经济和技术系统的系统建模、分析和设计需要融合不同科学学科的思想,包括控制论、优化、经济学和博弈论。这些系统通常涉及多个决策代理通过网络进行交互,并形成所谓的网络物理人类系统的子集。此类系统的示例包括智能电网、联网和自动驾驶车辆、智能制造以及混合人机系统。最近的技术进步使这些系统在广泛的应用中越来越普遍。这些系统的有效设计需要来自工程、经济学、社会科学以及工业界的专家之间的互动。这构成了于 2018 年 4 月 28 日至 29 日在密歇根州东兰辛组织第七届中西部控制和博弈论研讨会的基础,来自中西部各州的控制、优化、博弈论、经济学和计算领域的顶尖专家齐聚一堂,共同探讨控制、优化、博弈论、经济学和计算方面的问题。促进跨学科和跨学科的研究互动与合作。研讨会的目的是促进和加强生物学、经济学和工程学等广泛学科专家之间的研究讨论和合作。与前几届研讨会相比,本次研讨会的议程更加广泛,并且行业的参与也有所增加。受邀演讲者是控制、博弈论、应用概率、计算、动力系统、经济学和优化领域的顶尖专家。三个分主题(i)网络控制系统,(ii)博弈论和优化在社会系统中的应用,以及(iii)联网和自动驾驶车辆,确保研讨会的广泛议程集中在理论和应用上网络-物理-人类系统。研讨会还包括海报会议,学生和博士后展示他们当前的研究。顶尖专家对他们研究的反馈和指导将使这些年轻研究人员受益匪浅。受邀演讲者的选择是为了确保研究领域的广泛代表性,这种接触也将使年轻研究人员受益匪浅。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Vaibhav Srivastava其他文献
Non holonomic shortest robot path planning in a dynamic environment using polygonal obstacles
使用多边形障碍物的动态环境中的非完整最短机器人路径规划
- DOI:
10.1109/icit.2010.5472742 - 发表时间:
2010-03-14 - 期刊:
- 影响因子:0
- 作者:
Abhilash Srivastava;Dhruv Kartikey;Utkarsh Srivastava;Vaibhav Srivastava;Siddavatam Rajesh - 通讯作者:
Siddavatam Rajesh
On first passage time problems in collective decision-making with heterogeneous agents
异构智能体集体决策中的首次通过时间问题
- DOI:
10.1109/acc.2015.7171045 - 发表时间:
2015-07-01 - 期刊:
- 影响因子:0
- 作者:
Vaibhav Srivastava;Naomi Ehrich Leonard - 通讯作者:
Naomi Ehrich Leonard
Hybrid combinatorial optimization: Sample problems and algorithms
混合组合优化:示例问题和算法
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Vaibhav Srivastava;F. Bullo - 通讯作者:
F. Bullo
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach
使用多旋翼无人机对未知轨迹进行鲁棒跟踪:一种高增益观察者方法
- DOI:
10.23919/acc45564.2020.9147979 - 发表时间:
2020-03-13 - 期刊:
- 影响因子:0
- 作者:
Connor J. Boss;Vaibhav Srivastava;H. Khalil - 通讯作者:
H. Khalil
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
非平稳随机多臂老虎机:UCB 策略和 Minimax 遗憾
- DOI:
- 发表时间:
2021-01-22 - 期刊:
- 影响因子:0
- 作者:
Lai Wei;Vaibhav Srivastava - 通讯作者:
Vaibhav Srivastava
Vaibhav Srivastava的其他文献
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{{ truncateString('Vaibhav Srivastava', 18)}}的其他基金
Reshaping Motor Learning in High-Dimensional Tasks via Soft Robotic Physical Interactions
通过软机器人物理交互重塑高维任务中的运动学习
- 批准号:
1940950 - 财政年份:2020
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
NRI: FND: A Framework for Human-Team-Supervised Autonomy with Application to Underwater Search and Rescue
NRI:FND:应用于水下搜索和救援的人类团队监督自主框架
- 批准号:
1734272 - 财政年份:2017
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
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