Implementation of Kalman Filtering with Spiking Neural Networks

A Kalman filter can be used to fill space–state reconstruction dynamics based on knowledge of a system and partial measurements. However, its performance relies on accurate modeling of the system dynamics and a proper characterization of the uncertainties, which can be hard to obtain in real-life sc...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Alejandro Juárez-Lora, Luis M. García-Sebastián, Victor H. Ponce-Ponce, Elsa Rubio-Espino, Herón Molina-Lozano, Humberto Sossa
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-11-01
主題:	Kalman filter artificial intelligence spiking neural networks robotics dynamics
オンライン･アクセス:	https://www.mdpi.com/1424-8220/22/22/8845