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
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;
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
DOI :
10.1109/SACI.2009.5136216
