JOURNAL OF THEORETICAL BIOLOGY | 卷:448 |
Toward a model-free feedback control synthesis for treating acute inflammation | |
Article | |
Bara, Ouassim1  Fliess, Michel2,6  Join, Cedric3,4,6  Day, Judy5  Djouadi, Seddik M.1  | |
[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA | |
[2] Ecole Polytech, LIX, CNRS, UMR 7161, F-91128 Palaiseau, France | |
[3] Univ Lorraine, CNRS, CRAIN, UMR 7039, BP 239, F-54506 Vandoeuvre Les Nancy, France | |
[4] INRIA Lille Nord Europe, Projet NON A, Villeneuve Dascq, France | |
[5] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA | |
[6] ALIEN ALgebre Identificat & Estimat Numer, 7 Rue Maurice Barris, F-54330 Vezelise, France | |
关键词: Immune systems; Inflammatory response; Model-free control; Intelligent controllers; | |
DOI : 10.1016/j.jtbi.2018.04.003 | |
来源: Elsevier | |
【 摘 要 】
An effective and patient-specific feedback control synthesis for inflammation resolution is still an ongoing research area. A strategy consisting of manipulating a pro and anti-inflammatory mediator is considered here as used in some promising model-based control studies. These earlier studies, unfortunately, suffer from the difficultly of calibration due to the heterogeneity of individual patient responses even under similar initial conditions. We exploit a new model-free control approach and its corresponding intelligent controllers for this biomedical problem. A crucial feature of the proposed control problem is as follows: the two most important outputs which must be driven to their respective desired states are sensorless. This difficulty is overcome by assigning suitable reference trajectories to the other two outputs that do have sensors. A mathematical model, via a system of ordinary differential equations, is nevertheless employed as a virtual patient for in silico testing. We display several simulation results with respect to the most varied situations, which highlight the effectiveness of our viewpoint. (C) 2018 Elsevier Ltd. All rights reserved.
【 授权许可】
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