State estimation of connected vehicles using a nonlinear ensemble filter

Robust estimation algorithm for both switching signal and state of switched linear systems

In this paper, a novel sliding mode observer is proposed for systems that do not satisfy common.cond

间歇量化测量值下状态估计问题的研究，张恒，程鹏，本文研究了测量值存在间歇性以及量化的线性系统中的状态估计问题。本文的目标是设计一个使系统状态估计达到最小均方误差的量化密

《最优状态估计——卡尔曼H∞及非线性滤波》共分为四个部分，全面介绍了最优状态估计的理论和方法。第1部分为基础知识，回顾了线性系统、概率论和随机过程相关知识，介绍了最小二乘法、维纳滤波、状态的统计特性随

粒子滤波的英文材料，很清楚，下载从国外网站下，顶啊

考虑很多人学习OptimalStateEstimationKalman,H-infinity,andNonlinearApproaches，与其配套书里的习题解答，配有相关目录，目录精确到了每个题目和

Joint estimation of target state and ionospheric height bias in over-the-horizon radar target tracki

State Estimation of Macromotion Positioning Tables Based on Switching Kalman Filter

An improved method of state estimation for Markov jump linear system with quantized measurements

Robust prognostics for state of health estimation of lithium-ion batteries based on animproved PSO-S