Paper Info
Title
Correcting hypothalamic-pituitary-adrenal axis dysfunction using observer-based explicit nonlinear model predictive control.
Abstract
The hypothalamic-pituitary-adrenal (HPA) axis is critical in maintaining homeostasis under physical and psychological stress by modulating cortisol levels in the body. Dysregulation of cortisol levels is linked to numerous stress-related disorders. In this paper, an automated treatment methodology is proposed, employing a variant of nonlinear model predictive control (NMPC), called explicit MPC (EMPC). The controller is informed by an unknown input observer (UIO), which estimates various hormonal levels in the HPA axis system in conjunction with the magnitude of the stress applied on the body, based on measured concentrations of adreno-corticotropic hormones (ACTH). The proposed closed-loop control strategy is tested on multiple in silico patients and the effectiveness of the controller performance is demonstrated.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944359
EMBC
Keywords
Field
DocType
psychological stress,uio,empc,closed loop control strategy,numerous stress-related disorders,dysregulation,cortisol levels,acth,hormonal levels,homeostasis,explicit mpc,hpa axis system,adreno-corticotropic hormones,hypothalamic-pituitary-adrenal axis dysfunction,biology,observer-based explicit nonlinear model predictive control,nonlinear control systems,unknown input observer,nmpc,automated treatment methodology,predictive control
Hypothalamic-pituitary-adrenal axis dysfunction,Control theory,Computer science,Control theory,Model predictive control,Observer (quantum physics),Psychological stress,Nonlinear model
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Ankush Chakrabarty171.56
Gregery T Buzzard2316.03
M. Corless326749.21
Stanislaw H Zak410717.77
Ann E. Rundell5707.78