Optimal Interval Type-2 Fuzzy Logic Control Based Closed-Loop Regulation of Mean Arterial Blood Pressure Using the Controlled Drug Administration

被引：14
作者：
Sharma, Richa [1 ]
Kumar, Anupam [2 ]
机构：
[1] IIT Delhi, Ctr Biomed Engn, New Delhi 110016, India
[2] IIIT Kota, Elect & Commun Engn Dept, Jaipur 302017, Rajasthan, India
来源：
IEEE SENSORS JOURNAL | 2022年 / 22卷 / 07期
关键词：
Drugs; Uncertainty; Regulation; Blood pressure; Sensors; Fuzzy logic; Physiology; Mean arterial pressure; controlled drug infusion; fuzzy logic control; interval type-2 fuzzy logic control; grey wolf algorithm; CONTROL DESIGN; SODIUM-NITROPRUSSIDE; PERFORMANCE ANALYSIS; AUTOMATIC REGULATION; ADAPTIVE-CONTROL; PID CONTROLLERS; WOLF OPTIMIZER; CONTROL SCHEME; SYSTEMS; ROBOT;
D O I：
10.1109/JSEN.2022.3151831
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In pandemic times, the remote and automatic control/observation of physiological variables of the patients is the prime necessity for healthcare technologies. The closed-loop regulation of mean arterial pressure is essential for critically ill patients or post-surgery recovery patients. The physiological variables have serious issues such as parameter variations and uncertainties. In this paper, an interval type-2 fuzzy logic controller (IT2FLC) with footprints of uncertainty in the membership functions is presented in a two-layered design (TL-IT2FLC) that can efficiently deal with uncertainties and parameter variations. In this design, a pre-compensator IT2FLC is used, which deals with the uncertainties and parameter variations before the primary IT2FLC approach. The robustness analysis of the proposed method is investigated for external noise, and results are compared with traditional PID and T1-FLC techniques.
引用
收藏
页码：7195 / 7207
页数：13
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