Neural network self tuning pi control for thin McKibben muscles in an antagonistic pair configuration
This paper proposes a model free neural network self-tuning proportional integral (NNPI) controller for a biceps-triceps thin McKibben muscle (TMM) platform in an antagonistic pair configuration. The study intends to explore the proposed model independent control strategy for TMMs in an antagonistic...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98615/ http://dx.doi.org/10.1007/978-3-030-97672-9_9 |
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