Constrained long‐range adaptive predictive control of arterial blood pressure

Kwok, K.Y.; Mutha, R. K.; Shah, Sirish L.; Clanachan, Alexander S.; Finegan, Barry A.

doi:10.1002/acs.4480050603

Cited by 13 publications

(3 citation statements)

References 21 publications

(4 reference statements)

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“…The constraint limits could also be changed on-line. These constraints usually depend on the patient's weight and the duration of drug administration [5]. For SNP administration, the specified maximum dose was not to exceed 800 pg min-l [l].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Experiences with experimental clinical evaluation of a computerized drug delivery system for regulation of mean arterial blood pressure

Kwok

Shah²,

Finegan³

et al. 1999

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)

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A number of closed-loop control systems have been investigated and developed for the regulation of physiological variables by automatic administration of therapeutic agents, especially in the regulation of postoperative mean arterial pressure (MAP). Several surveys of these developments reveal the fact that control strategies have evolved from simple PID based feedback control to model-based adaptive predictive control. The main driving force behind this evolution is the recognition of the patients sensitivity to drug administration which necessitate the adaptation and self-tuning ability of an automated physiological controller. This paper reflects on several years of practical experience, by the authors, in this area including the development of an adaptive computerized drug delivery system. A computerized adaptive drug delivery system has been designed and tested for automatic regulation of mean arterial blood pressure (MAP) of human patients by infusion of a vasodilator (sodium nitroprusside). A limited pilot study using the system to perform closed-loop regulation of MAP in two patients undergoing coronary artery bypass surgery was performed. At all times the drug infusion was monitored by an expert supervisor. The trial results show that without human intervention, patients' MAP was kept withinfl0 mmHg of the setpoint for more than 70 % of the time even in the presence of significant natural and unmeasurable disturbances.

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Section: Methodsmentioning

confidence: 99%

“…The applicability of this controller to other physiological processes would belim ited. The controller employed in this work is a multistep, adaptive, predictive controller including a terminal matching condition originally developed by Kwok et al( 1991) [5].…”

Section: Adaptive Predictive Controlmentioning

confidence: 99%

Experiences with experimental clinical evaluation of a computerized drug delivery system for regulation of mean arterial blood pressure

Kwok

Shah²,

Finegan³

et al. 1999

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)

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show abstract

“…To derive a control law from (17), the predictive equations for the ARIMAX model in (6) and (8) are used. The ARIMAX model can be put into the following compact vector/matrix from (assuming unity delay):…”

Section: Derivation Of Control Algorithmmentioning

confidence: 99%

Long-Range Predictive Control With Steady State Error Weighting

Kwok¹,

Shah²

1997

Int. J. Adapt. Control Signal Process.

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SUMMARYThe long-range predictive control strategy is extended to include a terminal matching condition so that the final control law minimizes the squares of prediction errors over a small future prediction horizon and at steady state. The weighting on the terminal condition is a better alternative than a large prediction horizon, which requires a heavy computational load. It also leads to the formulation of an approximate longrange predictive controller with knowledge of only a few initial step response coefficients and the steady state gain. Evaluations of steady state error weighting show that the weighting provides similar effects to ordinary control weighting but in addition has the stabilizing effects of a large predictive control horizon. An adaptive version of this control strategy has been successfully applied to the control of mean arterial blood pressure.

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Adaptive Control Techniques for Arterial Blood Pressure by Means of Vasoactive Drugs

Leondes¹

2003

Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems

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Constrained long‐range adaptive predictive control of arterial blood pressure

Cited by 13 publications

References 21 publications

Experiences with experimental clinical evaluation of a computerized drug delivery system for regulation of mean arterial blood pressure

Experiences with experimental clinical evaluation of a computerized drug delivery system for regulation of mean arterial blood pressure

Long-Range Predictive Control With Steady State Error Weighting

Adaptive Control Techniques for Arterial Blood Pressure by Means of Vasoactive Drugs

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