Closed-loop feedback systems using reduced-order models

1976 ◽  
Vol 12 (24) ◽  
pp. 638 ◽  
Author(s):  
Y. Shamash
Keyword(s):  
Closed Loop ◽  
Reduced Order Models ◽  
Feedback Systems ◽  
Reduced Order ◽  
Loop Feedback ◽  
Closed Loop Feedback

scholarly journals A Systematic Review of Closed-Loop Feedback Techniques in Sleep Studies—Related Issues and Future Directions

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2770
Author(s):  
Jinyoung Choi ◽  
Moonyoung Kwon ◽  
Sung Chan Jun
Keyword(s):  
Real Time ◽  
Closed Loop ◽  
Brain Activity ◽  
Feedback Systems ◽  
Closed Loop System ◽  
Future Directions ◽  
Sleep Studies ◽  
Loop Feedback ◽  
Technical Issues ◽  
Closed Loop Feedback

Advances in computer processing technology have enabled researchers to analyze real-time brain activity and build real-time closed-loop paradigms. In many fields, the effectiveness of these closed-loop protocols has proven to be better than that of the simple open-loop paradigms. Recently, sleep studies have attracted much attention as one possible application of closed-loop paradigms. To date, several studies that used closed-loop paradigms have been reported in the sleep-related literature and recommend a closed-loop feedback system to enhance specific brain activity during sleep, which leads to improvements in sleep’s effects, such as memory consolidation. However, to the best of our knowledge, no report has reviewed and discussed the detailed technical issues that arise in designing sleep closed-loop paradigms. In this paper, we reviewed the most recent reports on sleep closed-loop paradigms and offered an in-depth discussion of some of their technical issues. We found 148 journal articles strongly related with ‘sleep and stimulation’ and reviewed 20 articles on closed-loop feedback sleep studies. We focused on human sleep studies conducting any modality of feedback stimulation. Then we introduced the main component of the closed-loop system and summarized several open-source libraries, which are widely used in closed-loop systems, with step-by-step guidelines for closed-loop system implementation for sleep. Further, we proposed future directions for sleep research with closed-loop feedback systems, which provide some insight into closed-loop feedback systems.

Closed-loop feedback control of microfluidic cell manipulation via deep-learning integrated sensor networks

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Ningquan Wang ◽  
Ruxiu Liu ◽  
Norh Asmare ◽  
Chia-Heng Chu ◽  
Ozgun Civelekoglu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Sensor Networks ◽  
Feedback Control ◽  
Closed Loop ◽  
Microfluidic System ◽  
Cell Manipulation ◽  
Integrated Sensor ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
On Chip

An adaptive microfluidic system changing its operational state in real-time based on cell measurements through an on-chip electrical sensor network.

scholarly journals Artificial Cutaneous Sensing of Object Slippage using Soft Robotics with Closed‐Loop Feedback Process

Small Science ◽  
2021 ◽  
pp. 2100002
Author(s):  
Tomohito Sekine ◽  
Yi-Fei Wang ◽  
Jinseo Hong ◽  
Yasunori Takeda ◽  
Reo Miura ◽  
...  
Keyword(s):  
Closed Loop ◽  
Soft Robotics ◽  
Feedback Process ◽  
Loop Feedback ◽  
Closed Loop Feedback

Development of a laparoscopic surgical skills simulation curriculum: Enhancing resident training through directed coaching and closed-loop feedback

Surgery ◽  
2021 ◽  
Author(s):  
Brendan P. Lovasik ◽  
Katherine T. Fay ◽  
Ankit Patel ◽  
Jamil Stetler ◽  
Dominic Papandria ◽  
...  
Keyword(s):  
Closed Loop ◽  
Resident Training ◽  
Surgical Skills ◽  
Loop Feedback ◽  
Closed Loop Feedback

Driver Model Based on Controller with Open and Close Loop

2014 ◽  
Vol 889-890 ◽  
pp. 958-961
Author(s):  
Huan Ming Chen
Keyword(s):  
Closed Loop ◽  
Driver Model ◽  
Lateral Acceleration ◽  
Vehicle Model ◽  
Vehicle Handling ◽  
Loop Control ◽  
Driving Experience ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
Target Path

It is very important to simulate driver's manipulation for people - car - road closed loop simulation system. In this paper, the driver model is divided into two parts, linear vehicle model is used to simulate the driver's driving experience, and closed-loop feedback is used to characterize the driver's emergency feedback. The lateral acceleration of vehicle is used as feedback in closed loop control. Simulation results show that the smaller lateral acceleration requires the less closed-loop feedback control. The driver model can accurately track the target path, which can be used to simulate the manipulation of the driver. The driver model can be used for people - car - road closed loop simulation to evaluate vehicle handling stability.

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