Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization-Reference-Cited by-同舟云学术

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Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Sarikhani Parisa¹,Hsu Hao-Lun²,Mahmoudi Babak³

Affiliation:

1. Emory University,Department of Biomedical Informatic,Atlanta,Georgia,30322

2. School of Computational Science and Engineering, Georgia Institute of Technology,Department of Biomedical Engineering,Atlanta,GA,USA,30332

3. Emory University, Georgia Institute of Technology,Departments of Biomedical Informatics and Biomedical Engineering,Atlanta,GA,USA,30322

Funder

NIH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871006.pdf?arnumber=9871006

Reference17 articles.

1. Self-tuning PID controllers for dead time processes

2. Design Optimization of PID Controller in Automatic Voltage Regulator System Using Taguchi Combined Genetic Algorithm Method

3. A review of PID control, tuning methods and applications

4. Safe Active Learning and Safe Bayesian Optimization for Tuning a PI-Controller

5. Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study

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