Neural network self tuning PI control for thin McKibben muscles in an antagonistic pair configuration

• Main Authors: Abdul Hafidz, Muhamad Hazwan, Mohd. Faudzi, Ahmad Athif, Jamaludin, Mohd. Najeb, Norsahperi, Nor Mohd. Haziq
• Format: Book Section
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/101663/; http://dx.doi.org/10.1007/978-3-030-97672-9_9

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...