DocumentCode
2300471
Title
Iterative Feedback Tuning in MIMO systems. Signal processing and application
Author
Radac, M.-B. ; Precup, R.-E. ; Preitl, S. ; Dragos, C.-A.
Author_Institution
Dept. of Autom. & Appl. Inf., Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2009
fDate
28-29 May 2009
Firstpage
77
Lastpage
82
Abstract
The paper presents an attractive formulation of the iterative feedback tuning approach for multi input-multi output (MIMO) systems. New special gradient experiments are highlighted to reduce the number of experiments per iteration. Several signal processing and implementation aspects are discussed. One case study accompanied by digital simulation results illustrates the usefulness of the theoretical, signal processing and implementation issues.
Keywords
MIMO systems; control system synthesis; feedback; gradient methods; signal processing; MIMO system; digital simulation; gradient method; iterative feedback tuning; multiinput multioutput system; signal processing; Cost function; Digital simulation; Feedback; Informatics; Iterative methods; MIMO; Optimal control; Signal processing; Signal processing algorithms; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computational Intelligence and Informatics, 2009. SACI '09. 5th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4244-4477-9
Electronic_ISBN
978-1-4244-4478-6
Type
conf
DOI
10.1109/SACI.2009.5136216
Filename
5136216
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