Autor: Lemos, J. M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A control Lyapunov function approach to adaptive control of HIV-1 infection
Autorzy:: Lemos, J. M.
Barao, M. S.
Powiązania:: https://bibliotekanauki.pl/articles/229511.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: nonlinear adaptive control
HIV-1 infection
immunology
exact linearization
control Lyapunov function
Opis:: This paper presents an algorithm for nonlinear adaptive control of the viral load in HIV-1 infection. The infection model considered is a reduced complexity nonlinear state-space model with two state variables, that represent the plasma concentration of uninfected and infected CD4+ T-cells of the human immune system. The viral load is assumed to be proportional to the concentration of infected cells. First, a change of variables that exactly linearizes the system is obtained. For the resulting linear system the manipulated variable is obtained by state feedback. To compensate for the uncertainty in the infection parameter of the model an estimator based on a Control Lyapunov Function is designed.
Źródło:: Archives of Control Sciences; 2012, 22, 3; 273-284
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Robust control of depth of anesthesia based on H∞ design
Autorzy:: Caiado, D. V.
Lemos, J. M.
Costa, B. A.
Powiązania:: https://bibliotekanauki.pl/articles/229439.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: depth of anesthesia
model uncertainty
robust control feedback
H∞ design
μ-synthesis
Opis:: This paper presents a case study on the design of a robust controller for the depth of anesthesia (DoA) induced by the drug propofol. This process is represented by a linear model together with a non-parametric uncertainty description that is evaluated using a patient model bank with 20 patients undergoing sedation. By using H∞ methods, the controller is aimed to comply with robust stability and performance specifications for the class of patient models considered. A minimization problem of sensitivity and complementary sensitivity is made to design the controller. The controller that results from this procedure is approximated by a controller with a lower order, that in turn is redesigned in discrete time for computer control application. The resulting controller is evaluated in simulations using a realistic nonlinear model of DoA.
Źródło:: Archives of Control Sciences; 2013, 23, 1; 41-59
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

Artykuł

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