Control of drug infusion for biological systems 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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th-cmuir.6653943832-621662018-09-11T09:25:15Z Control of drug infusion for biological systems using FREN with sliding bounds C. Treesatayapun Computer Science Mathematics 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 stable 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. © 2004 Elsevier B.V. All rights reserved. 2018-09-11T09:22:58Z 2018-09-11T09:22:58Z 2005-01-01 Journal 1569190X 2-s2.0-12444288509 10.1016/j.simpat.2004.09.003 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=12444288509&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62166 |
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Computer Science Mathematics |
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Computer Science Mathematics C. Treesatayapun Control of drug infusion for biological systems 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 stable 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. © 2004 Elsevier B.V. All rights reserved. |
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Journal |
| author |
C. Treesatayapun |
| author_facet |
C. Treesatayapun |
| author_sort |
C. Treesatayapun |
| title |
Control of drug infusion for biological systems using FREN with sliding bounds |
| title_short |
Control of drug infusion for biological systems using FREN with sliding bounds |
| title_full |
Control of drug infusion for biological systems using FREN with sliding bounds |
| title_fullStr |
Control of drug infusion for biological systems using FREN with sliding bounds |
| title_full_unstemmed |
Control of drug infusion for biological systems using FREN with sliding bounds |
| title_sort |
control of drug infusion for biological systems using fren with sliding bounds |
| publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=12444288509&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62166 |
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