Biological systems drug infusion controller using FREN with sliding bounds

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...

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Main Authors:	Treesatayapun Chidentree, Uatrongjit Sermsak
Format:	Journal
Published:	2018
Subjects:	Engineering
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750345817&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61668
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-61668
record_format	dspace
spelling	th-cmuir.6653943832-616682018-09-11T08:56:49Z Biological systems drug infusion controller using FREN with sliding bounds Treesatayapun Chidentree Uatrongjit Sermsak Engineering 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. © 2006 IEEE. 2018-09-11T08:56:49Z 2018-09-11T08:56:49Z 2006-11-01 Journal 00189294 2-s2.0-33750345817 10.1109/TBME.2006.881773 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750345817&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61668
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Engineering
spellingShingle	Engineering Treesatayapun Chidentree Uatrongjit Sermsak Biological systems drug infusion controller using FREN with sliding bounds
description	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. © 2006 IEEE.
format	Journal
author	Treesatayapun Chidentree Uatrongjit Sermsak
author_facet	Treesatayapun Chidentree Uatrongjit Sermsak
author_sort	Treesatayapun Chidentree
title	Biological systems drug infusion controller using FREN with sliding bounds
title_short	Biological systems drug infusion controller using FREN with sliding bounds
title_full	Biological systems drug infusion controller using FREN with sliding bounds
title_fullStr	Biological systems drug infusion controller using FREN with sliding bounds
title_full_unstemmed	Biological systems drug infusion controller using FREN with sliding bounds
title_sort	biological systems drug infusion controller using fren with sliding bounds
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750345817&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61668
_version_	1681425663536398336

Biological systems drug infusion controller using FREN with sliding bounds

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