Incorporate intelligence into an ecological system: An adaptive fuzzy control approach

2006 ◽  
Vol 177 (1) ◽  
pp. 243-250 ◽  
Author(s):  
Zhenkun Huang ◽  
Shuili Chen ◽  
Yonghui Xia
Author(s):  
Son Kuswadi ◽  
◽  
Mitsuji Sampei ◽  
Shigeki Nakaura ◽  
◽  
...  

This work demonstrates the applicability of adaptive fuzzy control approach to control one linear actuator hopping robot. Our simple approach uses linearized model to design a state feedback servo controller. Afterward, by using fuzzy networks we developed self-tuning adaptive control to handle nonlinearity of the robot. The continuous hopping gait was realized by simulation.


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