Data-based control for humanoid robots using support vector regression, fuzzy logic, and cubature Kalman filter

DOI10.1155/2016/1984634zbMath1400.93215OpenAlexW2462020724WikidataQ59131080 ScholiaQ59131080MaRDI QIDQ1792787

Liyang Wang, Ming Chen, Yongqing Fan, Gai Li

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/1984634

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85) Robot dynamics and control of rigid bodies (70E60)

Related Items

Constrained quadratic programming and neurodynamics-based solver for energy optimization of biped walking robots, A novel fifth-degree cubature Kalman filter for real-time orbit determination by radar

Cites Work

• Cubature Kalman smoothers
• Biped locomotion. Dynamics, stability, control and application. Transl. from Serbo-Croatian
• Weighted least squares support vector machines: robustness and sparse approximation
• Training fuzzy systems with the extended Kalman filter
• Support-vector networks
• Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
• Cubature Kalman Filters