Drug delivery control system challenge

The automated control of haemodynamic variables such as cardiac output and mean arterial pressure has been a goal of many research projects. While the design of such drug infusion controllers has often been based upon simplified linear models, the actual validation procedure requires a more comprehensive nonlinear model that is representative of the circulatory system. This phase is in fact often followed by animal experiments. Because of challenges involved in the direct design of controllers suitable for such a representative model, C language code for one such model is now publicly available through World Wide Web and FTP (File Transfer Protocol) access. Relevant performance specifications and constraints are presented as guidelines for developing suitable drug infusion controllers.

[1]  Sirish L. Shah,et al.  Long range predictive control of arterial blood pressure , 1990, 29th IEEE Conference on Decision and Control.

[2]  Howard Kaufman,et al.  Adaptive Control of Multiple Drug Infusions , 1983, 1983 American Control Conference.

[3]  James F. Martin,et al.  Multiple-Model Adaptive Control of Blood Pressure Using Sodium Nitroprusside , 1987, IEEE Transactions on Biomedical Engineering.

[4]  Louis C. Sheppard,et al.  Analysis of the Multiple Effects of Vasoactive and Positive Inotropic Agents on Cardiovascular System Variables , 1982 .

[5]  Howard Kaufman,et al.  Adaptive Control of Multiple Drug Infusions , 1983 .

[6]  L. C. Sheppard,et al.  A Model for Design of a Blood Pressure Controller for Hypertensive Patients , 1979 .

[7]  S. L. Shah,et al.  Clinical evaluation of long range adaptive control for mean arterial blood pressure regulation , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[8]  K.J. Gingrich,et al.  Modeling the hemodynamic response to dopamine in acute heat failure , 1991, IEEE Transactions on Biomedical Engineering.

[9]  Howard Kaufman,et al.  Model reference adaptive control of drug infusion rate , 1984, Autom..

[10]  R.J. Roy,et al.  Multiple drug hemodynamic control by means of a supervisory-fuzzy rule-based adaptive control system: validation on a model , 1995, IEEE Transactions on Biomedical Engineering.

[11]  Howard Kaufman,et al.  Multirate MPC design for a nonlinear drug infusion system , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[12]  W. G. He,et al.  Multiple Model Adaptive Control Procedure for Blood Pressure Control , 1986, IEEE Transactions on Biomedical Engineering.

[13]  G. I. Voss,et al.  Adaptive Multivarable Drug Delivery: Control of Artenal Pressure and Cardiac Output in Anesthetized Dogs , 1987, IEEE Transactions on Biomedical Engineering.

[14]  John R. Glover,et al.  Adaptive Control of Blood Pressure , 1983, IEEE Transactions on Biomedical Engineering.

[15]  N. T. Smith,et al.  Improved safety and efficacy in adaptive control of arterial blood pressure through the use of a supervisor , 1992, IEEE Transactions on Biomedical Engineering.

[16]  R J Roy,et al.  A circulatory model for combined nitroprusside-dopamine therapy in acute heart failure. , 1990, Medical progress through technology.

[17]  B W Bequette,et al.  Issues in the Design of a Multirate Model‐Based Controller for a Nonlinear Drug Infusion System , 1995, Biotechnology progress.

[18]  G.W. Neat,et al.  Expert adaptive control for drug delivery systems , 1989, IEEE Control Systems Magazine.

[19]  N. T. Smith,et al.  Supervisory adaptive control of arterial pressure during cardiac surgery , 1992, IEEE Transactions on Biomedical Engineering.