Abdulla, Shahab and Wen, Peng (2012) Depth of anaesthesia control investigation using robust deadbeat control technique. In: 2012 International Conference on Complex Medical Engineering (ICME 2012), 1-4 Jul 2012, Kobe, Japan .
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Abstract
This paper investigates the depth of anaesthesia (DoA) control system using robust deadbeat technique. We propose to apply deadbeat control technique and develop a robust controller. The proposed robust control system with a deadbeat controller is evaluated in simulation. The performance is compared with that of a traditional control system with a PID controller and a control system with an internal model (IMC) controller. The results show that the proposed scheme has about 15% less overshoot, shorter settling time (about 1.5 minutes shorter) and more robust to disturbances caused by parameter changes. In addition, the proposed method is easy to design and impalement.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 June 2013) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 June 2013) |
| Date Deposited: | 09 Jul 2012 00:24 |
| Last Modified: | 14 Mar 2018 02:56 |
| Uncontrolled Keywords: | deadbeat control; depth of anaesthesia |
| Fields of Research : | 09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling 11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences |
| Identification Number or DOI: | 10.1109/ICCME.2012.6275636 |
| URI: | http://eprints.usq.edu.au/id/eprint/21475 |
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