结果表明,HCOAG-KELM估计精度优于GWO-KELM,ICOA-KELM,KELM,扩展卡尔曼滤波(Extended Kalman Filter,EKF)和无迹卡尔曼滤波(Unscented Kalman Filter,UKF)算法,同时... 陆鹏 - 辽宁工程技术大学 被引量: 0发表: 2023年 Deep machine learning with grey wolf algorithm and central deference Kalman filter based br...
”作者将RNN(recurrent neural network)和MB-KF(model based kalman filter)进行结合,提出了一种新的滤波方案KalmanNet,具体来说就是在每一时刻通过RNN预测卡尔曼增益K,其余操作与传统卡尔曼滤波五个公式保持一致。 作者通过一系列数值实验展示了KalmanNet在处理非线性和模型失配问题上优于经典的滤波算法。 1.2 ...
The extended Kalman filter was implemented by Dr. Ruben Villareal, whereas the incorporation of the extended Kalman filter and the framework of the deep reinforcement learning was implemented by Dr. Nikolaos Vlassis. The rest of the authors contributed to developing ideas, writing the manuscript and...
This paper presents a comprehensive study addressing the challenging problem of acoustic howling suppression (AHS) through the fusion of Kalman filter and deep learning techniques. We introduce two integration approaches: HybridAHS, which concatenates Kalman and neural networks (NN), and NeuralKalmanAHS...
radar; Kalman filter; deep learning; multilayer perceptron; convolutional neural network; long short-term memory1. Introduction A radar is a system that emits and receives electromagnetic waves (EMW), usually a pulse, and determines the object’s distance, location, and size in an aerial ...
The proposed system integrates an extended Kalman filter (EKF) with a deep learning framework, forming a system prototype known as FELL, aimed at EV battery diagnosis and prediction. We devise an algorithm utilizing the EKF to estimate the SoH of the battery. We present a detailed overview of...
microelectromechanical system-inertial navigation systems/geomagnetic navigation systems (MEMS-INS/MNS) in geomagnetically unlocked environments, this paper proposes a hybrid seamless MEMS-INS/MNS strategy combining a strongly tracked square-root cubature Kalman filter with deep self-learning (DSL-STSRCKF)...