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Robust Control of Planar Biped Robots in Single Support Phase Using Intelligent Adaptive Backstepping Technique  

Yoo, Sung-Jin (Department of Electrical and Electronic Engineering, Yonsei University)
Park, Jin-Rae (Department of Electrical and Electronic Engineering, Yonsei University)
Choi, Yoon-Ho (School of Electronic Engineering, Kyonggi University)
Publication Information
International Journal of Control, Automation, and Systems / v.5, no.3, 2007 , pp. 269-282 More about this Journal
Abstract
This paper presents a robust control method via the intelligent adaptive backstepping design technique for stable walking of nine-link biped robots with unknown model uncertainties and external disturbances. In our control structure, the self recurrent wavelet neural network(SRWNN) which has the information storage ability is used to observe the uncertainties of the biped robots. The adaptation laws for all weights of the SRWNN are induced from the Lyapunov stability theorem, which are used for on-line controlling biped robots. Also, we prove that all signals in the closed-loop adaptive system are uniformly ultimately bounded. Through computer simulations of a nine-link biped robot with model uncertainties and external disturbances, we illustrate the effectiveness of the proposed control system.
Keywords
Backstepping design; biped robot; recurrent wavelet neural network; robust control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
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