以“磷添加”“磷沉降”“磷输入”为检索词,在Web of Science数据库和CNKI学术文献发现平台中检索2011—2020年相关文献,共得英文文献1549篇,中文文献624篇。运用CiteSpase知识图谱分析工具对关键词、作者、机构等分析对象进行可视化...以“磷添加”“磷沉降”“磷输入”为检索词,在Web of Science数据库和CNKI学术文献发现平台中检索2011—2020年相关文献,共得英文文献1549篇,中文文献624篇。运用CiteSpase知识图谱分析工具对关键词、作者、机构等分析对象进行可视化分析。结果显示,2011—2020年文献发表量逐年增加;该研究领域出现频次最高的关键词是磷添加、氮磷添加、植物生长、土壤养分;刊载磷输入相关论文最多的英文、中文期刊分别是Science of the Total Environment和生态学报。随着研究的深入,氮磷互作、氮磷添加对植物生长和生态系统的影响有可能是未来的研究热点。展开更多
With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests...With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic communities.Input shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC methods.It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration separately.Based on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of DDVC.By doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue.展开更多
文摘以“磷添加”“磷沉降”“磷输入”为检索词,在Web of Science数据库和CNKI学术文献发现平台中检索2011—2020年相关文献,共得英文文献1549篇,中文文献624篇。运用CiteSpase知识图谱分析工具对关键词、作者、机构等分析对象进行可视化分析。结果显示,2011—2020年文献发表量逐年增加;该研究领域出现频次最高的关键词是磷添加、氮磷添加、植物生长、土壤养分;刊载磷输入相关论文最多的英文、中文期刊分别是Science of the Total Environment和生态学报。随着研究的深入,氮磷互作、氮磷添加对植物生长和生态系统的影响有可能是未来的研究热点。
基金supported by the National Natural Science Foundation of China (62272078)。
文摘With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic communities.Input shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC methods.It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration separately.Based on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of DDVC.By doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue.
