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  • 标题:On the Identification of Self-Adjoint Linear Time-Varying State Models
  • 本地全文:下载
  • 作者:P. Rapisarda
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:15
  • 页码:251-256
  • DOI:10.1016/j.ifacol.2018.09.143
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA novel approach to the identification of linear time-varying (LTV) systems is illustrated, based on the concept of duality. Generically, if N input-output trajectories (uk, yk), k = 1,...,N of a self-adjoint LTV system are known, then the duality relation can be used to derive state trajectories xk, k = 1, . . ., N corresponding to such data. Such state trajectories are computed by factorizing a matrix directly constructed from input-output data of the primal and the dual system. From such input-state-output trajectories an “unfalsified” linear time-varying model can be obtained solving a system of functional equations.
  • 关键词:KeywordsSystem identificationlinear time-varying systemsbehavioral system theory
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