Distributed Weighted Least Squares Estimator Based on ADMM

一种动态加权ADMM框架用于拜占庭鲁棒性

A Dynamically Weighted ADMM Framework for Byzantine Resilience

本文提出动态加权ADMM框架，用于在拜占庭攻击下实现鲁棒的分布式优化，证明其在无误差和存在攻击情况下均能保持解的稳定性。

Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework

In this paper, the alternating direction method of multipliers (ADMM) is investigated for distributed optimization problems in a networked multi-agent system. In particular, a new adaptive-gain ADMM algorithm is derived in a closed form and under the standard convex property in order to greatly speed up convergence of ADMM-based distributed optimization. Using Lyapunov direct approach, the proposed solution embeds control gains into weighted network matrix among the agents and uses those weights as adaptive penalty gains in the augmented Lagrangian. It is shown that the proposed closed loop ga…

基于ADMM的通信高效分布式卡尔曼滤波

Communication-Efficient Distributed Kalman Filtering using ADMM

针对分布式卡尔曼滤波中的通信瓶颈，本文利用增广拉格朗日方法转化约束，并应用ADMM实现仅交换原始变量的高效分布式滤波，且收敛性分析证明估计收敛到全局最优。

Distributed computation of fast consensus weights using ADMM

We consider the problem of achieving average consensus among multiple agents, where the inter-agent communication network is depicted by a graph. We consider the discrete-time consensus protocol where each agent updates its value as a weighted average of its own value and those of its neighbours. Given a graph, it is known that there exists a set of 'optimal weights' such that the agents reach average consensus asymptotically with an optimal rate of convergence. However, existing methods require the knowledge of the entire graph to compute these optimal weights. We propose a method for each ag…

基于ADMM-RLS算法的云辅助协同估计用于联网车辆预测性维护

Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics

本文提出一种基于递归最小二乘法的云辅助协同估计方法，通过节点到云到节点传输实现本地参数估计与云上优化，提升联网车辆的预测性维护能力。

基于雷达网络的分布式目标跟踪

Distributed Target Tracking using Radar Networks

本文提出一种用于FMCW雷达网络的完全分布式目标跟踪框架，开发了D-MAP与D-EKF两种基于共识优化的估计器，仿真显示D-MAP提升了估计精度，可替代集中式雷达跟踪。