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On bounded‐error identification of feedback systems
Author(s) -
Mäkilä P. M.,
Partington J. R.
Publication year - 1995
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480090106
Subject(s) - bibo stability , robustness (evolution) , control theory (sociology) , bounded function , coprime integers , identification (biology) , robust control , feedback controller , system identification , mathematics , computer science , mathematical optimization , control system , engineering , algorithm , control (management) , nonlinear system , data mining , artificial intelligence , mathematical analysis , chemistry , biology , biochemistry , quantum mechanics , measure (data warehouse) , physics , botany , electrical engineering , gene
This paper studies identification of linear feedback systems from closed loop time series. Unfalsified approximate bounded error identification is shown to result in a control‐relevant identification methodology for robustness optimization under BIBO‐stable coprime factor uncertainty. Furthermore, well‐posedness (continuity) of the robustness optimization method for controller synthesis is established.