Distributed and Robust Estimation for Cyberphysical Systems using a Nonlinear Consensus Approach

使用非线性共识方法对网络物理系统进行分布式鲁棒估计

• 批准号: 1307982
• 负责人: cihan tepedelenlioglu
• 金额: $ 30万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1307982&HistoricalAwards=false
• 关键词: Distributed; Robust; Estimation; Cyberphysical; Systems

Objective:The objective of this project is to design and test nonlinear, robust, and power-aware consensus estimation algorithms for fully distributed cyber-physical systems (CPS). Systems that use a large number of networked sensors with limited transmission range due to power limitations are considered. Such systems have a large number of transmitters that are subject to non-Gaussian impulsive noise and network interference. Robust decentralized distributed sensing will be considered with joint design of the sensing and communication systems with low-power constraints.Intellectual Merit:The intellectual merit is in the novel design of distributed nonlinear consensus algorithms to solve parameter estimation problems for CPS applications. Proposed convergence analysis, and variance of the estimators in the presence of these nonlinearities go beyond existing analyses of linear approaches. The research will provide power-aware consensus estimation algorithms with minimal assumptions about the sensing and channel noise through judicious design of nonlinearities. Algorithms will be tested with photo-voltaic array data and a testbed will be developed to address and characterize real-time estimation.Broader Impact:The broader impacts are on alternative energy, environmental, infrastructure monitoring, and STEM education. The PIs will design educational software modules that use sensing as a paradigm to illustrate basic concepts in probability and communications at the undergraduate level. Dissemination and education efforts will include computer and mobile-based applications using the award-winning JAVA-DSP software packages. The investigators will also actively recruit students from under-represented minorities to work on the project.

目标：本项目的目标是设计和测试非线性，鲁棒性和功率感知的共识估计算法，用于完全分布式的信息物理系统（CPS）。系统，使用大量的网络传感器有限的传输范围，由于功率限制被认为是。这样的系统具有大量的发射机，这些发射机受到非高斯脉冲噪声和网络干扰。鲁棒分散分布式传感将被认为是与低功耗constrains.Intellectual优点的传感和通信系统的联合设计：智力的优点是在分布式非线性共识算法的新设计，以解决参数估计问题CPS应用。建议的收敛性分析，并在这些非线性的存在下方差的估计超出现有的线性方法的分析。该研究将提供功率感知的一致性估计算法，通过明智的非线性设计，对感知和信道噪声的假设最少。算法将通过光伏阵列数据进行测试，并将开发一个测试平台，以解决和表征实时估计。更广泛的影响：更广泛的影响涉及替代能源、环境、基础设施监测和STEM教育。PI将设计使用传感作为范例的教育软件模块，以说明本科阶段概率和通信的基本概念。传播和教育工作将包括使用获奖的JAVA-DSP软件包的计算机和移动应用程序。调查人员还将积极招募代表性不足的少数民族学生参与该项目。