DocumentCode :
2755544
Title :
Analysis of Neural Oscillator for Bio-inspired Robot Control
Author :
Zhang, D.G. ; Zhu, K.Y. ; Lan, L.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fYear :
2006
fDate :
Dec. 2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents some theoretical analysis for the neural oscillator, which is widely applied in the robot and biped control. The methods adopted here include stability theory, describing function, and linear piecewise analysis. Some prime properties of the neural oscillator such as the frequency determining, boundness, and stability are exploited. The insightful results will strengthen the foundation of the neural oscillator and enhance its efficient application for the bio-inspired robot control
Keywords :
describing functions; neurocontrollers; piecewise linear techniques; robots; stability; bio-inspired robot control; central pattern generator; describing function; neural oscillator; piecewise linear analysis; stability theory; Biomembranes; Frequency estimation; Neurofeedback; Neurons; Oscillators; Output feedback; Pattern analysis; Piecewise linear techniques; Robot control; Stability analysis; Central pattern generator; Describing function; Neural oscillator; Piecewise linear analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Automation and Mechatronics, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0024-4
Electronic_ISBN :
1-4244-0025-2
Type :
conf
DOI :
10.1109/RAMECH.2006.252614
Filename :
4018729
Link To Document :
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