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  • 标题:Data-driven Control of Temporally and Spatially Redundant Systems
  • 本地全文:下载
  • 作者:Takao Sato ; Yuta Sakai ; Natsuki Kawaguchi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:12
  • 页码:616-620
  • DOI:10.1016/j.ifacol.2022.07.380
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe present study proposes a data-driven design method for redundant systems where temporal and spatial redundancy are achieved by multi-rate design and multiple actuators, respectively. In the proposed method, the noniterative correlation-based tuning method for non-redundant systems is extended to temporally and spatially redundant systems. The effectiveness of the proposed method is demonstrated through experimental results.
  • 关键词:Keywordsdata-driventemporal redundancyspatial redundancymulti-rate
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