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Adaptive performance enhancement by iterative identification and control design
Author(s) -
Schrama Ruud J. P.,
Bosgra Okko H.
Publication year - 1993
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.4480070513
Subject(s) - robustness (evolution) , robust control , control theory (sociology) , identification (biology) , frequency domain , adaptive control , computer science , system identification , coprime integers , identification scheme , control engineering , scheme (mathematics) , controller (irrigation) , control system , control (management) , engineering , algorithm , mathematics , artificial intelligence , data mining , agronomy , biochemistry , chemistry , botany , biology , computer vision , electrical engineering , gene , measure (data warehouse) , mathematical analysis
In this paper we combine adaptation and robust control by an iterative scheme of system identification and control design. A nominal model is identified for robust control design and the controller is applied to the plant to gather new data for an update of the nominal model. Our objective is to improve the plant performance with every iteration right from the start. We tackle this problem with frequency domain identification and a control design method that optimizes robustness against coprime factor perturbations. Our approach is illustrated by simulated and practical examples.