A combined experience and model based design methodology of a fuzzy control system for mean arterial pressure and cardiac output

Boldisor, C.; Comnac, V.; Coman, Simona; Grigorescu, Sorin Mihai

doi:10.3182/20110828-6-it-1002.01592

“…[14] To achieve optimum therapeutic gains, a bolus dose is administered to meet the volume of distribution requirement, followed by a constant infusion, to achieve plasma concentration. [15] The situation becomes more complex in the three-compartment model the bolus dose is first administered to the central compartment, and the infusion rates are adjusted to attain a steady state in the process of achieving a constant drug concentration in the central compartment. Therefore, this situation calls for a method of varying infusion rates attune with central compartment concentration and excretion; this also affects the duration of infusion.…”

Section: Use Of Predictive Control Models In Drug Infusionmentioning

confidence: 99%

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Chandramouli¹

2018

AJP

0

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Intravenous infusion of drugs is preferred choice of drug delivery to critical care patients. However, the conditions of the patients treated require meticulous manual monitoring and control of the drugs infused which is imprecise and guesses prone. Development of adaptive control drug delivery systems to control infusion based on realtime variables will be advantageous in overcoming the stated difficulties, affording the caregiver to dynamically modify the amount of drug infused based on the real-time inputs. Predictive control modeling is a platform for implementing infusion control of hard to infuse drugs with better therapeutic efficiency.

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“…Aiming at solving the problem of haemodynamic variables control, several approaches have been developed. In [1][2][3][4], linear control of haemodynamics has been proposed. In [5][6][7][8][9], adaptive and robust control approaches have been proposed for models of heart function.…”

Section: Introductionmentioning

confidence: 99%

Flatness‐based control approach to drug infusion for cardiac function regulation

Rigatos

¹

,

Zervos

²

,

Melkikh

³

2017

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A new control method based on differential flatness theory is developed in this study, aiming at solving the problem of regulation of haemodynamic parameters. Actually control of the cardiac output (volume of blood pumped out by heart per unit of time) and of the arterial blood pressure is achieved through the administered infusion of cardiovascular drugs such as dopamine and sodium nitroprusside. Time delays between the control inputs and the system's outputs are taken into account. Using the principle of dynamic extension, which means that by considering certain control inputs and their derivatives as additional state variables, a state-space description for the heart's function is obtained. It is proven that the dynamic model of the heart is a differentially flat one. This enables its transformation into a linear canonical and decoupled form, for which the design of a stabilising feedback controller becomes possible. The proposed feedback controller is of proven stability and assures fast and accurate tracking of the reference setpoints by the outputs of the heart's dynamic model. Moreover, by using a Kalman filter-based disturbances' estimator, it becomes possible to estimate in real-time and compensate for the model uncertainty and external perturbation inputs that affect the heart's model.

show abstract

“…Aiming at solving the problem of haemodynamic variables control, several approaches have been developed. In [1][2][3][4], linear control of haemodynamics has been proposed. In [5][6][7][8][9], adaptive and robust control approaches have been proposed for models of heart function.…”

Section: Introductionmentioning

confidence: 99%

A flatness-based control approach to drug infusion for cardiac function regulation

Rigatos¹,

Zervos²,

Melkikh³

2016

AIP Conference Proceedings

0

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A new control method based on differential flatness theory is developed in this study, aiming at solving the problem of regulation of haemodynamic parameters. Actually control of the cardiac output (volume of blood pumped out by heart per unit of time) and of the arterial blood pressure is achieved through the administered infusion of cardiovascular drugs such as dopamine and sodium nitroprusside. Time delays between the control inputs and the system's outputs are taken into account. Using the principle of dynamic extension, which means that by considering certain control inputs and their derivatives as additional state variables, a state-space description for the heart's function is obtained. It is proven that the dynamic model of the heart is a differentially flat one. This enables its transformation into a linear canonical and decoupled form, for which the design of a stabilising feedback controller becomes possible. The proposed feedback controller is of proven stability and assures fast and accurate tracking of the reference setpoints by the outputs of the heart's dynamic model. Moreover, by using a Kalman filter-based disturbances' estimator, it becomes possible to estimate in real-time and compensate for the model uncertainty and external perturbation inputs that affect the heart's model.

show abstract

A combined experience and model based design methodology of a fuzzy control system for mean arterial pressure and cardiac output

Cited by 4 publications

References 14 publications

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Flatness‐based control approach to drug infusion for cardiac function regulation

A flatness-based control approach to drug infusion for cardiac function regulation

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