A Closed-Loop Control Scheme for Steering Steady States of Glycolysis and Glycogenolysis Pathway
Biochemical networks normally operate in the neighborhood of one of its multiple steady states. It may reach from one steady state to other within a finite time span. In this paper, a closed-loop control scheme is proposed to steer states of the glycolysis and glycogenolysis (GG) pathway from one of...
Saved in:
Published in | IEEE/ACM transactions on computational biology and bioinformatics Vol. 10; no. 4; pp. 858 - 868 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.07.2013
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Biochemical networks normally operate in the neighborhood of one of its multiple steady states. It may reach from one steady state to other within a finite time span. In this paper, a closed-loop control scheme is proposed to steer states of the glycolysis and glycogenolysis (GG) pathway from one of its steady states to other. The GG pathway is modeled in the synergism and saturation system formalism, known as S-system. This S-system model is linearized into the controllable Brunovsky canonical form using a feedback linearization technique. For closed-loop control, the linear-quadratic regulator (LQR) and the linear-quadratic gaussian (LQG) regulator are invoked to design a controller for tracking prespecified steady states. In the feedback linearization technique, a global diffeomorphism function is proposed that facilitates in achieving the regulation requirement. The robustness of the regulated GG pathway is studied considering input perturbation and with measurement noise. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1545-5963 1557-9964 |
DOI: | 10.1109/TCBB.2013.82 |