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

目的：本项目的目标是设计和测试用于全分布式网络物理系统(CPS)的非线性、健壮和功率感知的一致性估计算法。考虑了由于功率限制而使用大量网络传感器且传输范围有限的系统。这样的系统具有大量受非高斯脉冲噪声和网络干扰影响的发射机。稳健的分散式分布式感知将与感知和通信系统在低功耗约束下的联合设计结合起来考虑。智能的优点：智能的优点是设计了新的分布式非线性共识算法来解决CPS应用中的参数估计问题。在这些非线性存在的情况下，所提出的收敛分析和估计量的方差超过了现有的线性方法的分析。这项研究将通过合理的非线性设计，为能量感知共识估计算法提供关于感知和信道噪声的最小假设。算法将用光伏阵列数据进行测试，并将开发一个试验台来处理和表征实时估计。广泛的影响：对替代能源、环境、基础设施监测和STEM教育的更广泛影响。PI将设计教育软件模块，以感知为范例，在本科生水平上说明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人数不足的少数族裔的学生参与该项目。

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.