Hybrid control of a pneumatic artificial muscle (PAM) robot arm using an inverse NARX fuzzy model
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference28 articles.
1. Ahn, K.K., Anh, H.P.H., 2006. System modeling and identification of the two-link pneumatic artificial muscle (PAM) manipulator optimized with genetic algorithm. In: Proceedings of the 2006 IEEE-ICASE International Conference, Busan, Korea, pp. 356–361.
2. Ahn, K.K., Anh, H.P.H., 2007. A new approach of modeling and identification of the pneumatic artificial muscle (PAM) manipulator based on recurrent neural network. Proceedings of the IMechE, Part I: Journal of Systems and Control Engineering 221(8), 1101–1122.
3. Ahn, K.K., Anh, H.P.H., 2009. Identification of the pneumatic artificial muscle manipulators by MGA-based nonlinear NARX fuzzy model. Mechatronics 19(1), 106–133.
4. Ahn, K.K., Thanh, T.D.C., 2005. Nonlinear PID control to improve the control performance of PAM manipulators using neural network. KSME International Journal 19(1), 106–115.
5. Ahn, K.K., Thanh, T.D.C., 2006. Intelligent phase plane switching control of pneumatic artificial muscle manipulators with magneto-rheological brake. Mechatronics16(2), 85–95.
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