We present and analyze a flag raising distributed estimator (FRDE) that allows the agents under attack to perform accurate parameter estimation and detect the adversarial agents. The FRDE algorithm is a consensus+innovations estimator in which agents combine estimates of neighboring agents (consensus) with local sensing information (innovations).

2017年10月29日 · This paper studies distributed parameter estimation in the presence of adversarial agents. We consider the Flag Raising Distributed Estimation (FRDE) algorithm, a consen-sus+innovations distributed algorithm for the non-compromised agents to simultaneously perform parameter estimation and detect the presence of adversaries.

本文讨论了大域分数Riccati微分方程（FRDE）的近似解。 首先，求解间隔被划分为有限数量的子间隔。 然后，采用Legendre–Gauss–Radau点以及Lagrange插值方法来近似估计每个子间隔中的FRDE解。

2021年4月1日 · Inspired by the theory of FDE, we redefine FDE and reverse dispersion entropy (RDE), and propose fluctuation-based reverse dispersion entropy (FRDE), which is an improved method of FDE and RDE. As a complexity feature, FRDE is first applied to signal classification combined with K-Nearest Neighbor (KNN), and then a novel signal classification ...

2016年12月1日 · An accurate semi-analytical method to solve fractional Riccati differential equation (FRDE) with constant coefficients is presented. We predict some properties of the fractional derivative of solution of an FRDE and by introducing a semi-analytical method its solution is obtained.

2021年12月16日 · In this paper, on the basis of DE, combined with coarse-grained processing, we introduce the fluctuation and distance information of signal and propose the refined composite multiscale fluctuation-based reverse dispersion entropy (RCMFRDE).

2019年5月6日 · In this paper, an efficient piecewise spectral-collocation algorithm was proposed for solving nonlinear FRDE over large intervals. First, the solution interval is divided into finite number of subintervals. Then, the Legendre–Gauss–Radau points and Lagrange interpolation basis are employed to approximate solution of the FRDE in each ...

implementation of thesis research paper on a neural network with customized activation function to solve fractional order partial differential equations.

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受到fde理论的启发，我们重新定义了fde和反向色散熵（rde），并提出了基于涨落的反向色散熵（frde），这是fde和rde的一种改进方法。 作为一种复杂性特征，首先将FRDE与K最近邻（KNN）结合用于信号分类，然后提出一种基于FRDE和KNN的信号分类新方法，称 …