Design and implementation of an adaptive recurrent neural networks (ARNN) controller of the pneumatic artificial muscle (PAM) manipulator

Mechatronics

Volumn 19, Issue 6, 2009, Pages 816-828

  Ahn, Kyoung Kwan ^a   Anh, Ho Pham Huy ^a  

^a University of Ulsan   (South Korea)

Author keywords

Highly nonlinear PAM manipulator; Online learning BP algorithm; Pneumatic artificial muscle (PAM); Proposed adaptive recurrent neural networks controller (ARNN); Real time joint angle position control

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE CONTROL SYSTEMS; BACKPROPAGATION; CONTROLLERS; MANIPULATORS; MUSCLE; PNEUMATIC DRIVES; PNEUMATICS; POSITION CONTROL; THREE TERM CONTROL SYSTEMS;

BP ALGORITHM; CONVENTIONAL PID; DESIGN AND IMPLEMENTATIONS; JOINT ANGLE; MANIPULATOR CONTROL; PNEUMATIC ARTIFICIAL MUSCLE; PROPOSED ADAPTIVE RECURRENT NEURAL NETWORKS CONTROLLER (ARNN); SELF-ORGANIZING STRUCTURES;

RECURRENT NEURAL NETWORKS;

EID: 68349113787     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2009.04.006     Document Type: Article

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