Biological Systems Drug Infusion Controller Using FREN With Sliding Bounds

Author

Chidentree, T. ; Sermsak, U.

Author_Institution

Dept. of Electr. Eng., North-Chiangmai Univ., Chiang-Mai

Volume

53

Issue

11

fYear

2006

Firstpage

2405

Lastpage

2408

Abstract

In this paper, a direct adaptive control for drug infusion of biological systems is presented. The proposed controller is accomplished using our adaptive network called Fuzzy Rules Emulated Network (FREN). The structure of FREN resembles the human knowledge in the form of fuzzy if-then rules. After selecting the initial value of network´s parameters, an on-line adaptive process based on Lyapunov´s criteria is performed to improve the controller performance. The control signal from FREN is designed to keep in the region which is calculated by the modified Sliding Mode Control (SMC). The simulation results indicate that the proposed algorithm can satisfy the setting point and the robust performance

Keywords

Lyapunov methods; adaptive control; drugs; fuzzy set theory; medical control systems; variable structure systems; FREN; Lyapunov criteria; SMC; adaptive network; biological systems drug infusion controller; direct adaptive control; fuzzy if-then rules; fuzzy rules emulated network; on-line adaptive process; sliding bounds; sliding mode control; Adaptive control; Adaptive systems; Biological control systems; Biological systems; Control systems; Drugs; Fuzzy control; Humans; Programmable control; Sliding mode control; Drug infusion controller; FREN; neuro-fuzzy; Algorithms; Computer Simulation; Drug Therapy, Computer-Assisted; Fuzzy Logic; Infusions, Intravenous; Models, Biological; Neural Networks (Computer);

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.881773

Filename

1710184