An adaptive RBF neural network control strategy for lower limb rehabilitation robot

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6425 LNAI, Issue PART 2, 2010, Pages 417-427

  Zhang, Feng ^a   Li, Pengfeng ^a   Hou, Zengguang ^a   Xie, Xiaoliang ^a   Chen, Yixiong ^a   Li, Qingling ^a   Tan, Min ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

active training; adaptive control; RBF; Rehabilitation robot

Indexed keywords

ACTIVE TRAINING; ADAPTIVE CONTROL; ADAPTIVE CONTROL STRATEGY; COMPUTED TORQUE; CONTROL ALGORITHMS; CONTROL STRATEGIES; JOINT TORQUES; LOWER LIMB; MATLAB-SIMULINK; MODELING ERRORS; RBF; RBF NEURAL NETWORK; RBF(RADIAL BASIS FUNCTION); REHABILITATION ROBOT; ROBOT DYNAMICS; SIMULATION RESULT; TRACKING ERRORS; ACTIVE TRAININGS; PRECISE TRACKING;

ALGORITHMS; CONTROL THEORY; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; ROBOTICS; ROBOTS; MATLAB;

ADAPTIVE CONTROL SYSTEMS;

EID: 78650492822     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16587-0_39     Document Type: Conference Paper

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