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

目的：该项目的目的是为全分布式网络物理系统（CPS）设计和测试非线性、鲁棒和功率感知的共识估计算法。考虑了由于功率限制，使用大量网络传感器且传输范围有限的系统。这种系统有大量的发射机，这些发射机受到非高斯脉冲噪声和网络干扰的影响。将低功耗约束下的传感与通信系统联合设计，考虑鲁棒分散分布式传感。智力优势：智力优势在于分布式非线性共识算法的新设计，以解决CPS应用的参数估计问题。提出的收敛分析，以及在这些非线性存在下估计量的方差，超越了现有的线性方法分析。该研究将提供功率感知的共识估计算法，通过明智的非线性设计，对传感和信道噪声的假设最小。算法将用光伏阵列数据进行测试，并将开发一个测试平台来解决和表征实时估计。更广泛的影响：更广泛的影响是在替代能源、环境、基础设施监测和STEM教育方面。pi将设计教育软件模块，使用传感作为范例来说明本科水平的概率论和通信的基本概念。传播和教育工作将包括使用获奖的JAVA-DSP软件包的基于计算机和移动的应用程序。调查人员还将积极招募来自代表性不足的少数民族的学生参与该项目。

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.