DocumentCode :
2669441
Title :
An online algorithm for controlling a monotone Wiener system
Author :
Dai, Liang ; Pelckmans, Kristiaan
Author_Institution :
Inf. Technol., Uppsala Univ., Uppsala, Sweden
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1585
Lastpage :
1590
Abstract :
This paper proposes and studies an online algorithm (`NORTKNAR´) for controlling a monotone Wiener system to a given level. Such systems consist of a FIR model, followed by a monotonically in- or decreasing nonlinear static function. We consider phenomena which obey such system up to stochastic perturbations. We study almost sure convergence under weak regularity assumptions. Theoretical results are complemented by empirical results on the control of a PharmacoKinetics-PharmacoDynamic (PK-PD) system regulating concentrations of levuodopa in the bloodstream. Finally, we indicate how those ideas find application to regulating the rate of events in pulsatile systems.
Keywords :
convergence; nonlinear control systems; perturbation techniques; stochastic processes; FIR model; bloodstream; convergence; levuodopa concentration regulation; monotone Wiener system control; monotonically decreasing nonlinear static function; monotonically increasing nonlinear static function; online NORTKNAR algorithm; pharmacokinetics-pharmacodynamic system control; pulsatile system event rate regulation; stochastic perturbations; weak regularity; Control systems; Convergence; Linear systems; Mathematical model; Stochastic processes; Vectors; Yttrium; Online algorithm; Wiener system; pharmacokinetics-pharmacodynamic model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6244257
Filename :
6244257
Link To Document :
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