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  • 标题:Joint Identification and Control in Hybrid Linear Systems
  • 本地全文:下载
  • 作者:Christoforos Somarakis ; Ion Matei ; Maksym Zhenirovskyy
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:1084-1089
  • DOI:10.1016/j.ifacol.2020.12.1303
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose a theoretical framework for joint system identification and control on a class of stochastic linear systems. We investigate optimization algorithms for inferring endogenous and environmental parameters from data, part of which are used for control purposes. A number of non-trivial interplays among stability and performance, as well as computational challenges and fundamental limits in identification rate emerge. Our results are validated via simulation example on a quadcopter control problem.
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