控制理论与应用2024，Vol.41Issue(12)：2189-2206,18.DOI:10.7641/CTA.2024.30330
基于脉冲神经网络的智能控制研究进展
Research advance in intelligent control based on spiking neural networks
摘要
Abstract
In recent years,spiking neural networks(SNN)have garnered significant attention in the fields of brain-inspired learning and intelligent control due to their advantages in energy efficiency,robustness,and the ability to incor-porate spatial-temporal information.In the field of brain-inspired learning and intelligent control,SNN architectures have shown promise in achieving complex control tasks with autonomous interaction with variations in the environment.This paper presents a comprehensive review of the development of intelligent control based on SNN and systematically sum-marizes relevant SNN control applications.Firstly,the basic concept of SNN,as well as the motivations and advantages of intelligent control based on SNN,is briefly introduced.Subsequently,the research progress of intelligent control based on SNN in recent years and its applications in fields such as robotics,unmanned vehicles,and unmanned aerial vehicles are systematically reviewed.Additionally,we summarize some hardware platforms that enable efficient implementation of SNN algorithms.Finally,the opportunities and challenges associated of SNN control are discussed.The purpose of this pa-per is to provide a technical framework for intelligent control based on SNN approach,and facilitate its rapid development and application.关键词
脉冲神经网络/深度学习/神经网络与智能控制/神经形态计算Key words
spiking neural networks(SNN)/deep learning/neural network and intelligent control/neuromorphic com-puting引用本文复制引用
刘晓德,郭宇飞,黄旭辉,马喆..基于脉冲神经网络的智能控制研究进展[J].控制理论与应用,2024,41(12):2189-2206,18.基金项目
国家自然科学基金项目(12202413,12202412)资助.Supported by the National Natural Science Foundation of China(12202413,12202412). （12202413,12202412）
