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Signal‐processing‐based performance measures for differential linear repetitive processes
Author(s) -
Smyth K. J.,
Cao Y.,
Rogers E.,
Owens D. H.
Publication year - 1994
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.4480080604
Subject(s) - control theory (sociology) , sequence (biology) , signal (programming language) , set (abstract data type) , differential (mechanical device) , signal processing , controller (irrigation) , computer science , function (biology) , forcing (mathematics) , describing function , class (philosophy) , series (stratigraphy) , mathematics , nonlinear system , control (management) , engineering , digital signal processing , artificial intelligence , mathematical analysis , physics , agronomy , paleontology , genetics , evolutionary biology , quantum mechanics , computer hardware , biology , programming language , aerospace engineering
Repetitive or multipass processes are a class of systems characterized by a series of sweeps through a set of dynamics defined over a fixed finite duration. The output of each sweep or pass acts as an explicit forcing function on and hence contributes to the next pass profile. This in turn leads to the unique control problem that the output sequence can contain oscillations which increase in amplitude from pass to pass. In this paper signal‐processing techniques are employed to develop unique computable performance measures of direct use in controller design and related studies.