Design of computerized drug delivery control systems
A fuzzy controller-based multiple-model adaptive control system (FCMMAC) for drug delivery control system was presented in this report. We developed a multiple-model adaptive control (MMAC) algorithm to identify the patient model, because the transfer function parameters were different for each pati...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4838 |
| _version_ | 1811679342087897088 |
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| author | Lu, Shan. |
| author2 | Zhu, Kuanyi |
| author_facet | Zhu, Kuanyi Lu, Shan. |
| author_sort | Lu, Shan. |
| collection | NTU |
| description | A fuzzy controller-based multiple-model adaptive control system (FCMMAC) for drug delivery control system was presented in this report. We developed a multiple-model adaptive control (MMAC) algorithm to identify the patient model, because the transfer function parameters were different for each patient and variant with time, and it was shown that such an algorithm was desirable for maintaining both steady-state and transient specifications [1]. Additionally, we used a fuzzy control (FC) method to design a controller bank for blood pressure control; in fact, each fuzzy controller in the controller bank was a nonlinear proportional-integral (PI) controller whose proportional gain and integral gain adjusted continuously according to error and rate change of error of the process output [2]. |
| first_indexed | 2024-10-01T03:07:38Z |
| format | Thesis |
| id | ntu-10356/4838 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T03:07:38Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/48382023-07-04T16:01:42Z Design of computerized drug delivery control systems Lu, Shan. Zhu, Kuanyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics A fuzzy controller-based multiple-model adaptive control system (FCMMAC) for drug delivery control system was presented in this report. We developed a multiple-model adaptive control (MMAC) algorithm to identify the patient model, because the transfer function parameters were different for each patient and variant with time, and it was shown that such an algorithm was desirable for maintaining both steady-state and transient specifications [1]. Additionally, we used a fuzzy control (FC) method to design a controller bank for blood pressure control; in fact, each fuzzy controller in the controller bank was a nonlinear proportional-integral (PI) controller whose proportional gain and integral gain adjusted continuously according to error and rate change of error of the process output [2]. Master of Science (Computer Control and Automation) 2008-09-17T09:59:39Z 2008-09-17T09:59:39Z 2005 2005 Thesis http://hdl.handle.net/10356/4838 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Lu, Shan. Design of computerized drug delivery control systems |
| title | Design of computerized drug delivery control systems |
| title_full | Design of computerized drug delivery control systems |
| title_fullStr | Design of computerized drug delivery control systems |
| title_full_unstemmed | Design of computerized drug delivery control systems |
| title_short | Design of computerized drug delivery control systems |
| title_sort | design of computerized drug delivery control systems |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | http://hdl.handle.net/10356/4838 |
| work_keys_str_mv | AT lushan designofcomputerizeddrugdeliverycontrolsystems |