Control-relevant modeling in drug delivery.
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[1] E Salzsieder,et al. Computer-aided systems in the management of type I diabetes: the application of a model-based strategy. , 1990, Computer methods and programs in biomedicine.
[2] A M Albisser,et al. A circulation and organs model for insulin dynamics. , 1979, The American journal of physiology.
[3] James F. Antaki,et al. Control system architecture for mechanical cardiac assist devices , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[4] J. Jaremko,et al. Advances Toward the Implantable Artificial Pancreas for Treatment of Diabetes , 1998, Diabetes Care.
[5] H. Unbehauen,et al. Application and comparison of different identification schemes under industrial conditions , 1988 .
[6] G. F. Webb,et al. A NONLINEAR CELL POPULATION MODEL OF PERIODIC CHEMOTHERAPY TREATMENT , 1992 .
[7] C Cobelli,et al. Estimation of beta-cell secretion and insulin hepatic extraction by the minimal modelling technique. , 1990, Computer methods and programs in biomedicine.
[8] J S Schwaber,et al. Analysis of heart rate-based control of arterial blood pressure. , 1996, The American journal of physiology.
[9] James F. Martin,et al. Multiple-Model Adaptive Control of Blood Pressure Using Sodium Nitroprusside , 1987, IEEE Transactions on Biomedical Engineering.
[10] R J Roy,et al. A circulatory model for combined nitroprusside-dopamine therapy in acute heart failure. , 1990, Medical progress through technology.
[11] Guruprasad A. Giridharan,et al. Controller Design for Ventricular Assist Devices , 1999 .
[12] M. Morari,et al. Understanding the Dynamic Behavior of Distillation Columns , 1988 .
[13] S. Shah,et al. A control-relevant identification strategy for GPC , 1992 .
[14] Sirish L. Shah,et al. Evaluation of a Long-Range Adaptive Predictive Controller for Computerized Drug Delivery Systems , 1992 .
[15] H Ying,et al. Expert-system-based fuzzy control of arterial pressure by drug infusion. , 1988, Medical progress through technology.
[16] Claudio Cobelli,et al. Evaluation of Portal/Peripheral Route and of Algorithms for Insulin Delivery in the Closed-Loop Control of Glucose in Diabetes - A Modeling Study , 1983, IEEE Transactions on Biomedical Engineering.
[17] T. Yoneyama,et al. A robust controller for insulin pumps based on H-infinity theory , 1993, IEEE Transactions on Biomedical Engineering.
[18] B. Aufderheide,et al. Automated regulation of hemodynamic variables , 2001, IEEE Engineering in Medicine and Biology Magazine.
[19] Manfred Morari,et al. Improving regulation of mean arterial blood pressure during anesthesia through estimates of surgery effects , 2000, IEEE Transactions on Biomedical Engineering.
[20] E. Lightfoot,et al. A model for multiple subcutaneous insulin injections developed from individual diabetic patient data. , 1995, The American journal of physiology.
[21] P.M. Mäkilä,et al. Worst-case control-relevant identification , 1995, Autom..
[22] John A. Adam,et al. A mathematical model of cycle-specific chemotherapy , 1995 .
[23] P Wach,et al. Simulation studies on neural predictive control of glucose using the subcutaneous route. , 1998, Computer methods and programs in biomedicine.
[24] H. Kaufman,et al. Multiple-model adaptive predictive control of mean arterial pressure and cardiac output , 1992, IEEE Transactions on Biomedical Engineering.
[25] R. Larsson,et al. A general model for time‐dissociated pharmacokinetic‐pharmacodynamic relationships exemplified by paclitaxel myelosuppression , 1998, Clinical pharmacology and therapeutics.
[26] Robert S. Parker,et al. Advanced model predictive control (MPC) for type I diabetic patient blood glucose control , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[27] R C Boston,et al. Alternative method for minimal model analysis of intravenous glucose tolerance data. , 1989, The American journal of physiology.
[28] R. B. Martin,et al. Optimal control drug scheduling of cancer chemotherapy , 1992, Autom..
[29] Model based optimal control scheme for high-dose methotrexate ch motherapy followed by leucovorin rescue , 1990 .
[30] Clemens Ah,et al. Feedback control dynamics for glucose controlled insulin infusion system. , 1979 .
[31] Kok Lay Teo,et al. Optimal insulin infusion control via a mathematical blood glucoregulatory model with fuzzy parameters , 1991 .
[32] Dietmar P. F. Möller,et al. Biomedical Modeling and Simulation on a PC , 1993, Advances in Simulation.
[33] G. Bonadonna,et al. Nonlinear pharmacokinetics and metabolism of paclitaxel and its pharmacokinetic/pharmacodynamic relationships in humans. , 1995, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[34] Antti J. Koivo,et al. Automatic Continuous-Time Blood Pressure Control in Dogs by Means of Hypotensive Drug Injection , 1980, IEEE Transactions on Biomedical Engineering.
[35] João Borges de Sousa,et al. An Optimal Control Algorithm For Multidrug Cancer Chemotherapy Design , 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[36] T. Kobayashi,et al. The Pharmacokinetics of Insulin After Continuous Subcutaneous Infusion or Bolus Subcutaneous Injection in Diabetic Patients , 1983, Diabetes.
[37] G Albrecht,et al. A model-based system for the individual prediction of metabolic responses to improve therapy in type I diabetes. , 1990, Hormone and metabolic research. Supplement series.
[38] Michael E. Fisher,et al. Mathematical Models Of The Control Of Drug Resistant Tumour Growth Using One Or Two Chemotherapeutic Agents , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
[39] L. Norton. A Gompertzian model of human breast cancer growth. , 1988, Cancer research.
[40] G Albrecht,et al. Estimation of individually adapted control parameters for an artificial beta cell. , 1984, Biomedica biochimica acta.
[41] M O Karlsson,et al. Pharmacokinetic models for the saturable distribution of paclitaxel. , 1999, Drug metabolism and disposition: the biological fate of chemicals.
[42] W. Zingg,et al. An Artificial Endocrine Pancreas , 1974, Diabetes.
[43] A. V. Sebald,et al. An adaptive fuzzy controller for blood pressure regulation , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.
[44] Zvia Agur,et al. Reduction of cytotoxicity to normal tissues by new regimens of cell-cycle phase-specific drugs , 1988 .
[45] D. Gough,et al. Is blood glucose predictable from previous values? A solicitation for data. , 1999, Diabetes.
[46] David Clarke,et al. Advances in model-based predictive control , 1994 .
[47] Francis J. Doyle,et al. Robust H∞ glucose control in diabetes using a physiological model , 2000 .
[48] L. C. Sheppard,et al. A Model for Design of a Blood Pressure Controller for Hypertensive Patients , 1979 .
[49] M. Egorin,et al. Paclitaxel pharmacokinetics and pharmacodynamics. , 1995, Seminars in oncology.
[50] K. Behbehani,et al. A controller for regulation of mean arterial blood pressure using optimum nitroprusside infusion rate , 1991, IEEE Transactions on Biomedical Engineering.
[51] Manfred Morari,et al. Automation in anesthesia , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).
[52] V. Bolie,et al. Coefficients of normal blood glucose regulation. , 1961, Journal of applied physiology.
[53] J. White,et al. Application of network thermodynamics to the computer modeling of the pharmacology of anticancer agents: a network model for methotrexate action as a comprehensive example. , 1981, Pharmacology & therapeutics.
[54] Zlatko Trajanoski,et al. Neural Predictive Controller for Closed-Loop Control of Glucose Using the Subcutaneous Route: A Simulation Study , 1997 .
[55] M. Quon,et al. Non-Insulin-Mediated Glucose Disappearance in Subjects With IDDM: Discordance Between Experimental Results and Minimal Model Analysis , 1994, Diabetes.
[56] Sørensen Jt,et al. Use of a physiologic pharmacokinetic model of glucose homeostasis for assessment of performance requirements for improved insulin therapies. , 1982 .
[57] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[58] George Stephanopoulos,et al. Wavelet‐based modulation in control‐relevant process identification , 1998 .
[59] R. Bonnecaze,et al. Measurement and modeling of the transient difference between blood and subcutaneous glucose concentrations in the rat after injection of insulin. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[60] J L Boldrini,et al. Optimal chemotherapy: a case study with drug resistance, saturation effect, and toxicity. , 1994, IMA journal of mathematics applied in medicine and biology.
[61] G. Pajunen,et al. Model reference adaptive control with constraints for postoperative blood pressure management , 1990, IEEE Transactions on Biomedical Engineering.
[62] W. G. He,et al. Multiple Model Adaptive Control Procedure for Blood Pressure Control , 1986, IEEE Transactions on Biomedical Engineering.
[63] R. Day,et al. Treatment sequencing, asymmetry, and uncertainty: protocol strategies for combination chemotherapy. , 1986, Cancer research.
[64] Daniel E. Rivera,et al. Control-relevant prefiltering: a systematic design approach and case study , 1992 .
[65] Z. Bajzer,et al. Conceptual frameworks for mathematical modeling of tumor growth dynamics , 1996 .
[66] D.S. Ward,et al. Open loop control of multiple drug effects in anesthesia , 1995, IEEE Transactions on Biomedical Engineering.
[67] R. Gleason,et al. A Model of Glucose-insulin Homeostasis in Man that Incorporates the Heterogeneous Fast Pool Theory of Pancreatic Insulin Release , 1978, Diabetes.
[68] Frank Allgöwer,et al. Nonlinear structure identification of chemical processes , 1997 .
[69] R. Bassanezi,et al. Drug kinetics and drug resistance in optimal chemotherapy. , 1995, Mathematical biosciences.
[70] R. Meier,et al. Fuzzy logic control of human blood pressure during anesthesia , 1992, IEEE Control Systems.
[71] John Thomas Sorensen,et al. A physiologic model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes , 1985 .
[72] E Salzsieder,et al. Mixed graphical models for simultaneous model identification and control applied to the glucose-insulin metabolism. , 1998, Computer methods and programs in biomedicine.
[73] Vincent C. Rideout,et al. Mathematical and Computer Modeling of Physiological Systems , 1991 .
[74] D. Finegood,et al. Reduced glucose effectiveness associated with reduced insulin release: an artifact of the minimal-model method. , 1996, The American journal of physiology.
[75] R. Bergman,et al. Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. , 1981, The Journal of clinical investigation.
[76] James F. Antaki,et al. Control of rotary heart assist devices , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[77] G. W. Swan,et al. Cancer chemotherapy: Optimal control using the Verhulst-Pearl equation , 1986, Bulletin of mathematical biology.
[78] Cynthia L. Stokes,et al. Biological systems modeling: Powerful discipline for biomedical e‐R&D , 2000 .
[79] S. Saeger,et al. An electrocatalytic glucose sensor for in-vivo application. , 1991, Biomedical instrumentation & technology.
[80] Yibei Ling,et al. Entropic analysis of biological growth models. , 1993, IEEE transactions on bio-medical engineering.
[81] Claudio Cobelli,et al. An integrated mathematical model of the dynamics of blood glucose and its hormonal control , 1982 .
[82] B. Teicher,et al. Influence of schedule on alkylating agent cytotoxicity in vitro and in vivo. , 1989, Cancer research.
[83] Francis J. Doyle,et al. Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat , 2001, Neural Computation.
[84] Qingsheng Zheng,et al. Control-relevant identification of Volterra series models , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[85] T. Secomb,et al. Theoretical models for drug delivery to solid tumors. , 1997, Critical reviews in biomedical engineering.
[86] Daniel E. Rivera,et al. Control Relevant Model Reduction of Volterra Series Models , 1998 .
[87] D Rodbard,et al. Computer Simulation of Plasma Insulin and Glucose Dynamics After Subcutaneous Insulin Injection , 1989, Diabetes Care.
[88] D B Menzel,et al. Planning and using PB-PK models: an integrated inhalation and distribution model for nickel. , 1988, Toxicology letters.
[89] U. Fischer,et al. Kinetic Modeling of the Glucoregulatory System to Improve Insulin Therapy , 1985, IEEE Transactions on Biomedical Engineering.
[90] H. Skipper,et al. EXPERIMENTAL EVALUATION OF POTENTIAL ANTICANCER AGENTS. XIII. ON THE CRITERIA AND KINETICS ASSOCIATED WITH "CURABILITY" OF EXPERIMENTAL LEUKEMIA. , 1964, Cancer chemotherapy reports.
[91] S. Isaka,et al. Control strategies for arterial blood pressure regulation , 1993, IEEE Transactions on Biomedical Engineering.
[92] S. Genuth,et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. , 1993, The New England journal of medicine.
[93] A S Glicksman,et al. Growth in solid heterogeneous human colon adenocarcinomas: comparison of simple logistical models , 1987, Cell and tissue kinetics.
[94] Claudio Cobelli,et al. Models of subcutaneous insulin kinetics. A critical review , 2000, Comput. Methods Programs Biomed..
[95] Yaman Arkun,et al. Control of Nonlinear Systems Using Input Output Information , 1995 .
[96] W. Schenk,et al. Does Physiological Blood Glucose Control Require an Adaptive Control Strategy? , 1987, IEEE Transactions on Biomedical Engineering.
[97] Kok Lay Teo,et al. Optimal Control of Drug Administration in Cancer Chemotherapy , 1993 .
[98] L C Gatewood,et al. Model studies of blood-glucose regulation. , 1965, The Bulletin of mathematical biophysics.
[99] E Salzsieder,et al. Experimental validation of a glucose-insulin control model to stimulate patterns in glucose turnover. , 1990, Computer methods and programs in biomedicine.
[100] R.S. Parker,et al. A model-based algorithm for blood glucose control in Type I diabetic patients , 1999, IEEE Transactions on Biomedical Engineering.
[101] Rein Luus,et al. OPTIMAL DRUG SCHEDULING OF CANCER CHEMOTHERAPY , 1994 .
[102] James F. Antaki,et al. Control issues in rotary heart assist devices , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[103] E. Ackerman,et al. A Mathematical Model of the Glucose-tolerance test , 1964 .
[104] N. Saijo,et al. Indirect‐response model for the time course of leukopenia with anticancer drugs , 1998, Clinical pharmacology and therapeutics.
[105] Riccardo Bellazzi,et al. Qualitative models and fuzzy systems: an integrated approach for learning from data , 1998, Artif. Intell. Medicine.
[106] Z Trajanoski,et al. Pharmacokinetic Model for the Absorption of Subcutaneously Injected Soluble Insulin and Monomeric Insulin - Analogues - Pharmakokinetisches Modell für die Absorption von subkutan injiziertem löslichem Insulin und monomeren Insulinanaloga , 1993, Biomedizinische Technik. Biomedical engineering.
[107] M. Shichiri,et al. Closed-loop subcutaneous insulin infusion algorithm with a short-acting insulin analog for long-term clinical application of a wearable artificial endocrine pancreas. , 1997, Frontiers of medical and biological engineering : the international journal of the Japan Society of Medical Electronics and Biological Engineering.
[108] Evanghelos Zafiriou,et al. Robust process control , 1987 .
[109] M E Andersen,et al. Biologically based pharmacodynamic models: tools for toxicological research and risk assessment. , 1991, Annual review of pharmacology and toxicology.
[110] S. V. Gaikwad,et al. Multivariable frequency-response curve fitting with application to control-relevant parameter estimation , 1997, Autom..