A UKF-based predictable SVR learning controller for biped walking

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volumn 43, Issue 6, 2013, Pages 1440-1450

  Wang, Liyang ^a   Liu, Zhi ^a   Chen, Philip ^b   Zhang, Yun ^a   Lee, Sukhan ^c   Chen, Xin ^a  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF MACAU   (Macao)

^c Sungkyunkwan University   (South Korea)

Author keywords

Biped robot; Gait control; Learning control; State prediction; Support vector regression (SVR); Unscented Kalman filter (UKF)

Indexed keywords

KALMAN FILTERS; ROBOTS; SUPPORT VECTOR REGRESSION;

BIPED ROBOT; GAIT CONTROL; LEARNING CONTROL; STATE PREDICTION; SUPPORT VECTOR REGRESSION (SVR); UNSCENTED KALMAN FILTER;

CONTROLLERS;

EID: 84897026343     PISSN: 10834427     EISSN: 21682232     Source Type: Journal    
DOI: 10.1109/TSMC.2013.2242887     Document Type: Article

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