A new approach for modelling and identification of the pneumatic artificial muscle manipulator based on recurrent neural networks

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 221, Issue 8, 2007, Pages 1101-1121

  Ahn, K K ^a,b   Anh, H P H ^a  

^a University of Ulsan   (South Korea)

^b School of Mechanical and Automotive Engineering   (South Korea)

Author keywords

Modelling and identification; Neural networks; PAM manipulator; Pneumatic artificial muscle (PAM); Recurrent non linear NNARX model; Recursive incremental back propagation (INCBP) algorithm

Indexed keywords

BACKPROPAGATION; IDENTIFICATION (CONTROL SYSTEMS); INTELLIGENT CONTROL; MANIPULATORS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; RECURRENT NEURAL NETWORKS;

MODELLING AND IDENTIFICATION; PNEUMATIC ARTIFICIAL MUSCLES (PAM);

ARTIFICIAL ORGANS;

EID: 37549038999     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/09596518JSCE432     Document Type: Article

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