A hybrid adaptive approach for drug delivery systems

The goal of this work is to develop an expert, hierarchical control scheme that adapts its structure in arcordance with a broad range of plant variations and knowledge about the plant. The coarsest control, provided by a fuzzy controller, moves the state of the plant towards the set point by modeling the actions of the operator. A multiple model adaptive control procedure provides the next level of control by forcing the plant's response to exist within a predetermined allowable range of specifications. The finest control is determined by a model reference adaptive controller that causes the plant to follow a desired reference model. The heuristics used to determine switching between different controllers is orchestrated by an expert system that bases its decisions on plant responses and controller parameter values. An illustrative blood pressure controller example is presented demonstrating the improved performance provided by this hybrid control system.

[1]  H. Kaufman,et al.  Implicit Adaptive Control for a Class of MIMO Systems , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Karl Johan Åström,et al.  Theory and applications of adaptive control - A survey , 1983, Autom..

[3]  Karl-Erik Årzén,et al.  Expert control , 1986, at - Automatisierungstechnik.

[4]  Rolf Isermann,et al.  Parameter adaptive control algorithms - A tutorial , 1982, Autom..

[5]  B SlateJ,et al.  Closed-loop nitroprusside infusion: modeling and control theory for clinical application. , 1980 .

[6]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[7]  Howard Kaufman,et al.  Robust simplified adaptive control for a class of multivariable continuous-time systems , 1985, 1985 24th IEEE Conference on Decision and Control.

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

[9]  Vincent C. Rideout,et al.  CLOSED-LOOP NITROPRUSSIDE INFUSION: MODELING AND CONTROL THEORY FOR CLINICAL APPLICATION. , 1980 .

[10]  Karl Johan Åström,et al.  Adaptive feedback control , 1987, Proc. IEEE.

[11]  H. Kaufman,et al.  Global stability and performance of a simplified adaptive algorithm , 1985 .

[12]  Howard Kaufman,et al.  Direct Model Reference Adaptive Control for a Class of MIMO Systems , 1986 .

[13]  Rolf Isermann,et al.  Parameter-adaptive control with configuration aids and supervision functions , 1985, Autom..

[14]  Karl Johan Åström,et al.  Theory and Applications of Adaptive Control , 1981 .

[15]  C. Leondes,et al.  Adaptive control for the space station , 1987, IEEE Control Systems Magazine.

[16]  Izhak Bar-Kana,et al.  Adaptive Control: A Simplified Approach , 1987 .

[17]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.